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

We are seeking a hands-on and technically strong Generative AI Engineer to join the AI Platform Capabilities team as part of a Platform Implementation Partner engagement. In this role, you will design, build, and deploy enterprise-grade Generative AI platform capabilities across multiple Local Business Units operating on both GCP and Azure environments.

The role focuses on engineering production-ready and reusable GenAI components across the full AI stack, including Decision & Orchestration Layers, Execution Runtime Layers, and Build & Lifecycle Layers. You will work closely with implementation partners and Data & AI teams to ensure scalable, enterprise-compliant AI capabilities are delivered within project timelines. This is a deeply technical engineering role with strong emphasis on implementation and operationalization rather than client management.

Key Responsibilities:

• Design and implement enterprise-grade RAG pipelines including ingestion, chunking, embeddings, vector search, retrieval logic, and evaluation frameworks.
• Build multi-agent AI systems with orchestration, semantic routing, memory management, workflow execution, and agent communication capabilities.
• Develop centralized LLM Gateway solutions covering model routing, observability, caching, rate limiting, and policy enforcement.
• Implement scalable GenAIOps, AgentOps, and MLOps frameworks for deployment, monitoring, evaluation, and governance of AI systems.
• Build scalable AI services and REST APIs using Python and deploy them on cloud-native infrastructure.
• Implement AI governance, safety guardrails, audit logging, PII protection, and compliance frameworks.
• Integrate AI solutions into CI/CD pipelines and provision infrastructure using Infrastructure-as-Code practices.

Must-Have Skills:

• Strong hands-on experience with Generative AI, RAG pipelines, embeddings, vector databases, and retrieval evaluation.
• Experience building agentic AI systems including orchestration frameworks, semantic routers, reasoning engines, and memory management.
• Expertise with LLM Gateway implementations, tool integrations, event-driven architectures, and AI runtime systems.
• Solid understanding of GenAIOps, AgentOps, and MLOps principles and tooling.
• Strong experience with GCP AI/ML ecosystem including Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Storage.
• Excellent Python programming skills for AI pipelines, APIs, and automation workflows.
• Experience implementing AI governance, safety, compliance, and monitoring frameworks.
• Hands-on experience with CI/CD pipelines and Terraform-based infrastructure automation.

Nice-to-Have Skills:

• Experience working in multi-cloud environments across GCP and Azure.
• Familiarity with LangChain, LlamaIndex, RAGAS, DeepEval, or Vertex AI Rapid Eval.
• Exposure to Knowledge Graphs, Document Intelligence platforms, and Agent Marketplace concepts.
• Experience with enterprise AI-ready data layers including Vector Stores, Feature Stores, and Embedding Infrastructure.
• BFSI domain knowledge including regulatory compliance and data sovereignty considerations.
• Google Cloud Professional Machine Learning Engineer certification.
• Experience working in large-scale enterprise transformation programs. 

At Oogw.ai, we are reimagining corporate finance operations. Our flagship product, Prism Books, is a powerful Finance Intelligence & AP Automation platform built specifically around existing Tally setups.

Tally is India's accounting source of truth, but CFOs, founders, and investors constantly hit a wall when it comes to multi-company consolidation, plain-English data querying, and automated accounts payable. Prism Books solves this by providing automated WhatsApp-to-Tally invoice processing (OCR), management-grade custom reporting, and conversational "Ask the Books" AI capability—all without requiring a single Tally plugin or upgrade.

We are expanding our core sales team and looking for a high-performing Sales Executive / Business Development Manager who already understands the Tally ecosystem, has pre-existing relationships with finance leaders, and wants to upgrade from selling traditional legacy software to high-ticket B2B SaaS.

The Opportunity

If you have spent the last few years working for a Tally Partner, Distributor, or Solution Integrator, you know how frustrating it is when a client wants advanced MIS reports or multi-server rollups that Tally cannot natively handle. You usually have to build expensive custom TDL or watch them struggle with endless Excel exports.

With Prism Books, you will sell the ultimate solution to their exact pain points. Because our platform requires zero changes to the accountant's workflow and no software upgrades, your sales friction is incredibly low. You will unlock significantly larger deal sizes, faster closing cycles, and a highly rewarding incentive structure.

What You Will Do

• Own the Enterprise Pipeline: Target, pitch, and close mid-to-large corporate accounts, group companies, and multi-location businesses that run their accounting on Tally.
• Consultative Pitching to CFOs: Lead high-impact demos with Founders, CFOs, Financial Controllers, and Head of Finance teams, speaking their language (P&L tracking, multi-company consolidation, MIS gap analysis, and AP cycle reductions).
• Leverage the Ecosystem: Tap into your existing network of Tally users, decision-makers, or reference partners to generate qualified inbound and outbound opportunities.
• Demonstrate the Future of Finance: Show clients how our automated WhatsApp AP channel reads vendor invoices via OCR and posts balanced purchase vouchers straight into Tally in under a minute.
• Manage Short Sales Cycles: Guide prospects from an initial 45-minute sample dataset demo to contract sign-off and kickoff.

What We Are Looking For (Requirements)

• Experience: 2 to 5 years of proven B2B software sales or account management experience, specifically working within a 5-Star Certified Tally Partner network, Tally integrator, or direct Tally distributor ecosystem.
• Domain Knowledge: Deep understanding of how corporate entities utilize Tally Prime, Tally Server (TPS), Cost Centres, and multi-company setups. You must know the real-world limitations of Tally reporting and Excel dependencies.
• Audience Familiarity: Proven track record of pitching and selling to senior leadership (CFOs, Finance Heads, Promoters) rather than just data entry clerks or junior IT teams.
• Core Skills: Excellent communication skills, aggressive pipeline management, and a plain-spoken, consultative approach to closing deals. (No corporate fluff, just focus on solving the client's problem).
• Bonus Points: Familiarity with Tally-on-Cloud solutions or selling automated OCR/Document management platforms.

Why Join Oogw.ai?

• Uncapped Earning Potential: A competitive base salary plus an aggressive, transparent incentive structure tied directly to the ARR you bring in.
• The Perfect Tech Wrap: You are selling a product that has immediate product-market fit. We aren’t asking clients to replace Tally; we are giving them a modern financial stack that wraps around it seamlessly.
• Fast-Paced Growth: As an early sales hire for Prism Books, you will have a direct hand in shaping our go-to-market strategy and stepping into leadership roles quickly.
• Modern Work Culture: High autonomy, clear metrics, and zero micromanagement.

Location: Mumbai

Employment Type: Full-Time

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