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

Job Details

- Job Title: Regional Sales Manager

- Industry: SAAS

- Function: Sales/Business Development

- Experience Required: 7-12 years

- Employment Type: Full Time

- Job Location: Mumbai

- CTC Range: Best in Industry

Preferred Skills: Excellent Communication & Stakeholder Management, Solution Selling & Negotiation, Enterprise Selling, Revenue Ownership, Pipeline Control, Team Scaling

Criteria:

• Candidate must be from the SaaS industry only.
• Minimum 7 years of on-field enterprise sales experience in India.
• Strong experience in complex IT / SaaS / CPaaS / AI solution selling.
• Consistent achievement of ₹10 Cr+ annual revenue targets in the last 2–3 years.
• Experience selling into Healthcare and Fintech/BFSI sectors.
• Experience managing 2–5 on-field sales professionals, along with working as an Individual Contributor.
• Ability to independently generate pipeline, close enterprise deals, and grow existing account.

Job Description 

Role: Regional Sales Manager – West & South, India

Base Location: Mumbai

Experience: 7–12 Years

Annual Quota (2026): ₹3–5 Crores

Role Overview

We are looking for a high-performing on-field sales leader to drive revenue across West and South India.

This is a hands-on role:

• Initially an individual contributor (own selling)
• Within 6–12 months, build and manage a team of 2–4 on-field sales reps

The role requires strong experience in complex IT / CPaaS / Conversational AI solution selling, enterprise stakeholder engagement, and consistent revenue achievement.

Key Responsibilities

• Drive regional revenue across Mumbai, Pune, Bangalore, and surrounding territories.
• Own direct sales initially and close enterprise deals independently.
• Develop and execute regional sales strategy aligned with company goals.
• Identify and close opportunities in Hospitals, Clinics, Fintech, and D2C sectors.
• Lead solution-led sales engagements including architecture discussions, integrations, and PoCs.
• Manage both hunting (new acquisition) and farming (account growth).
• Hire and manage a team of 2–4 on-field sales professionals.
• Maintain strong pipeline visibility and accurate forecasting.
• Drive negotiations, pricing discussions, and contract closures.
• Travel extensively across customer locations and company offices.

Ideal Candidate Profile

• 7+ years of on-field enterprise sales experience in India.
• Proven expertise in complex IT / SaaS / AI / CPaaS solution selling.
• Strong experience selling into Healthcare and BFSI/Fintech sectors.
• Ability to engage CXOs, Marketing Heads, IT Leaders, and Operations teams.
• Consistent achievement of ₹10 Cr+ annual targets in recent years.
• Experience managing small sales teams (2–5 reps).

Preferred Background

• Small to mid-size IT Services / AI companies

Job Details

- Job Title: Regional Sales Manager

- Industry: SAAS

- Function: Sales/Business Development

- Experience Required: 7-12 years

- Employment Type: Full Time

- Job Location: Mumbai

- CTC Range: Best in Industry

Preferred Skills: Excellent Communication & Stakeholder Management, Solution Selling & Negotiation, Enterprise Selling, Revenue Ownership, Pipeline Control, Team Scaling

Criteria:

• Candidate must be from the SaaS industry only.
• Minimum 7 years of on-field enterprise sales experience in India.
• Strong experience in complex IT / SaaS / CPaaS / AI solution selling.
• Consistent achievement of ₹10 Cr+ annual revenue targets in the last 2–3 years.
• Experience selling into Healthcare and Fintech/BFSI sectors.
• Experience managing 2–5 on-field sales professionals, along with working as an Individual Contributor.
• Ability to independently generate pipeline, close enterprise deals, and grow existing account.

Job Description 

Role: Regional Sales Manager – West & South, India

Base Location: Mumbai

Experience: 7–12 Years

Annual Quota (2026): ₹3–5 Crores

Role Overview

We are looking for a high-performing on-field sales leader to drive revenue across West and South India.

This is a hands-on role:

• Initially an individual contributor (own selling)
• Within 6–12 months, build and manage a team of 2–4 on-field sales reps

The role requires strong experience in complex IT / CPaaS / Conversational AI solution selling, enterprise stakeholder engagement, and consistent revenue achievement.

Key Responsibilities

• Drive regional revenue across Mumbai, Pune, Bangalore, and surrounding territories.
• Own direct sales initially and close enterprise deals independently.
• Develop and execute regional sales strategy aligned with company goals.
• Identify and close opportunities in Hospitals, Clinics, Fintech, and D2C sectors.
• Lead solution-led sales engagements including architecture discussions, integrations, and PoCs.
• Manage both hunting (new acquisition) and farming (account growth).
• Hire and manage a team of 2–4 on-field sales professionals.
• Maintain strong pipeline visibility and accurate forecasting.
• Drive negotiations, pricing discussions, and contract closures.
• Travel extensively across customer locations and company offices.

Ideal Candidate Profile

• 7+ years of on-field enterprise sales experience in India.
• Proven expertise in complex IT / SaaS / AI / CPaaS solution selling.
• Strong experience selling into Healthcare and BFSI/Fintech sectors.
• Ability to engage CXOs, Marketing Heads, IT Leaders, and Operations teams.
• Consistent achievement of ₹10 Cr+ annual targets in recent years.
• Experience managing small sales teams (2–5 reps).

Preferred Background

• Small to mid-size IT Services / AI companies

Skills  - MLOps Pipeline Development | CI/CD (Jenkins) | Automation Scripting | Model Deployment & Monitoring | ML Lifecycle Management | Version Control & Governance | Docker & Kubernetes | Performance Optimization | Troubleshooting | Security & Compliance

Responsibilities:

1. Design, develop, and implement MLOps pipelines for the continuous deployment and

integration of machine learning models

2. Collaborate with data scientists and engineers to understand model requirements and

optimize deployment processes

3. Automate the training, testing and deployment processes for machine learning models

4. Continuously monitor and maintain models in production, ensuring optimal

performance, accuracy and reliability

5. Implement best practices for version control, model reproducibility and governance

6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness

7. Troubleshoot and resolve issues related to model deployment and performance

8. Ensure compliance with security and data privacy standards in all MLOps activities

9. Keep up to date with the latest MLOps tools, technologies and trends

10. Provide support and guidance to other team members on MLOps practices

Required skills and experience:

• 3-10 years of experience in MLOps, DevOps or a related field

• Bachelor’s degree in computer science, Data Science or a related field

• Strong understanding of machine learning principles and model lifecycle management

• Experience in Jenkins pipeline development

• Experience in automation scripting

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 

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