12+ Pipeline management Jobs in India

Overview:

As a Business Manager in Sales, you will lead and drive the sales efforts of the company, ensuring revenue targets are met or exceeded. Your primary focus will be on developing sales strategies, building and managing client relationships, and guiding the sales team to achieve business objectives. You will collaborate closely with cross-functional teams to identify market opportunities, expand the customer base, and drive revenue growth.

Responsibilities:

1. Sales Strategy and Planning:

• Develop comprehensive sales strategies to penetrate markets, acquire new customers, and maximize revenue.
• Analyze market trends, customer needs, and competitor activities to identify opportunities for growth.
• Set sales targets, quotas, and objectives aligned with company goals and objectives.

2. Business Development:

• Identify and pursue new business opportunities through prospecting, networking, and lead generation activities.
• Build and maintain relationships with key clients, partners, and stakeholders to expand the customer base.
• Negotiate contracts, pricing, and terms to secure profitable deals and partnerships.

3. Sales Team Leadership:

• Recruit, train, and develop a high-performing sales team.
• Set clear performance expectations, goals, and KPIs for sales representatives.
• Provide coaching, mentorship, and support to enable the team to achieve individual and collective sales targets.

4. Sales Operations Management:

• Oversee the day-to-day sales operations, including pipeline management, forecasting, and reporting.
• Implement sales processes, systems, and tools to streamline workflows and improve efficiency.
• Ensure compliance with sales policies, procedures, and best practices.

5. Customer Relationship Management:

• Cultivate strong, long-lasting relationships with customers and key accounts.
• Address customer inquiries, concerns, and feedback in a timely and professional manner.
• Act as a trusted advisor to clients, providing solutions and recommendations to meet their needs.

6. Performance Analysis and Optimization:

• Monitor sales performance metrics and key performance indicators (KPIs) to track progress against targets.
• Analyze sales data and market insights to identify trends, opportunities, and areas for improvement.
• Implement strategies to optimize sales processes, improve conversion rates, and drive revenue growth.

Qualifications:

• Bachelor's degree in business, marketing, or related field (Master's degree preferred).
• Proven track record of success in sales management, with a focus on meeting or exceeding revenue targets.
• Strong leadership skills with the ability to inspire and motivate a sales team.
• Excellent communication, negotiation, and interpersonal skills.
• Strategic thinker with a results-oriented mindset.
• Analytical mindset with the ability to interpret sales data and market trends.
• Proficiency in sales management software and CRM systems.

Additional Requirements:

• Prior experience in sales within the Lubricants Industry/Retail Sales/B2B Sales/Industrial Sales.
• Willingness to travel as needed.
• Ability to work independently and collaboratively in a fast-paced environment.
• Commitment to continuous learning and professional development.
• Ethical conduct and integrity in all aspects of work.

Benefits:

• Competitive salary and commission structure.
• Opportunities for career advancement and growth within the organization.
• Ongoing training and development programs to enhance sales skills and knowledge.

Company Overview: Welcome to Office Advisor – where technology meets the future of commercial real estate in India! With our advanced technology platform, we're simplifying the office search process, connecting businesses with their ideal workspace effortlessly. Join us as we redefine the future of workspace solutions at Office Advisor.

Position Overview: We're on a mission to redefine the way companies find their perfect office space in India. As a Business Development Associate, you will be at the forefront of our efforts, engaging with companies to understand their needs and guiding them through the process of finding their ideal workspace. If you're passionate about forging connections and driving business growth, we'd love to have you on board!

Key Responsibilities:

• Prospect and identify potential clients who are in search of office space, ranging from startups to established corporations.
• Engage with clients through various channels, including phone calls, emails, and networking events, to understand their requirements and introduce them to the Office Advisor platform.
• Conduct site visits and property tours with clients, showcasing available office spaces and addressing any questions or concerns they may have.
• Lead negotiation meetings between clients and landlords, advocating for our clients' best interests while fostering positive relationships with all parties involved.
• Collaborate with internal teams to ensure a smooth transition from client inquiry to successful leasing transactions.
• Stay informed about market trends, competitor activities, and industry developments to identify new business opportunities and enhance our services.

Qualifications:

• Bachelor's degree in business administration, marketing, or a related field.
• Proven experience in sales, business development, or a similar role, preferably B2B.
• Strong interpersonal and communication skills, with the ability to build rapport and influence decision-makers.
• Results-driven mindset with a focus on achieving and exceeding targets.
• Flexibility to adapt to evolving business needs and market dynamics.

Join us in revolutionizing the commercial real estate sector in India and be part of a passionate team committed to driving innovation and excellence. Apply now to embark on an exciting journey with Office Advisor!

Our client is the industry-leading provider of AI Assisted Conversational messaging solutions. They help Professionals and Institutes such as Doctors, Lawyers and Hospitals and Education Institutes drive consumer experience over text messaging channels like SMS/Whatsapp in their Enquiry management and Customer support processes. As a forward- thinking global company, it continues to innovate and develop cutting edge technologies like Conversational AI, Chatbots, and Omni channel solutions that redefine how businesses digitally communicate with their customers.

They integrate with Top CRMs like Salesforce,

Zoho, Hub spot among others to drive engagement in key moments, and have acquired 5000

customers across SMB’s and Mid-market (from small Professional Doctors and lawyers to large global staffing companies and large insurance companies).They’re growing at a fast pace and need a sharp, focused, self-starter person to join their marketing team. As a Demand Generation Manager, you will work closely with cross-functional teams, including marketing, product & customer success to own the pipeline.

Requirements

• Own, develop and execute end-to-end campaigns that engage and convert prospective buyers with a focus on developers and marketers within specific verticals.
• Create and oversee impactful and engaging content, targeted competition displacement campaigns and ABM campaigns.
• Work closely with product development, product marketing & customer success teams, to design and implement campaigns that deliver on business objectives.
• Design & execute campaigns that drive pipeline and generate opportunities using PLG motion.
• Understand the buyer’s journey at each stage of the Sales funnel and translate messaging and positioning into effective campaigns.
• Keep track of MQL-SQL-SAL conversion rates, analyze campaign performance, surface insights and provide recommendations for optimizing results.
• Track program results, measure program success and report metrics to stakeholders
• Build strong relationships with key cross functional stakeholders across GTM organization to ensure campaign enablement and engagement.
• Develop scalable, repeatable campaign playbooks
• Guide the creation of content alongside our Content Marketing, Product Marketing and Solutions teams
• Develop outbound and account-based campaigns that complement inbound campaign strategy

What we need:

​

• 10+ years of work experience, with at least 7 years in demand generation
• Graduate/masters in any stream with good understanding of SaaS product space
• Proven track record of leading multi-channel campaigns with success, collaborating with stakeholders and finding opportunities to strategically up level marketing efforts
• Understanding of the nuances of running an integrated campaign, and ability to think both strategically and execute at an operational level with ease
• Agile, Nimble, and energetic
• Being an Individual Contributor, your performance will be measured by the pipeline you generate, your ability to execute and achieve measurable results including new logo development, and owning cross-sell campaigns to drive expansion opportunities

Required Skill Set-

Project experience in any of the following - Data Management,

Database Development, Data Migration or Data Warehousing.

• Expertise in SQL, PL/SQL.

Role and Responsibilities -

• Work on a complex data management program for multi-billion dollar

customer

• Work on customer projects related to data migration, data

integration

•No Troubleshooting

• Execution of data pipelines, perform QA, project documentation for

project deliverables

• Perform data profiling, data cleansing, data analysis for migration

data

• Participate and contribute in project meeting

• Experience in data manipulation using Python preferred

• Proficient in using Excel, PowerPoint

 -Perform other tasks as per project requirements.

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

Desired Competencies:

Ø  Expertise in Azure Data Factory V2

Ø  Expertise in other Azure components like Data lake Store, SQL Database, Databricks

Ø  Must have working knowledge of spark programming

Ø  Good exposure to Data Projects dealing with Data Design and Source to Target documentation including defining transformation rules

Ø  Strong knowledge of CICD Process

Ø  Experience in building power BI reports

Ø  Understanding of different components like Pipelines, activities, datasets & linked services

Ø  Exposure to dynamic configuration of pipelines using data sets and linked Services

Ø  Experience in designing, developing and deploying pipelines to higher environments

Ø  Good knowledge on File formats for flexible usage, File location Objects (SFTP, FTP, local, HDFS, ADLS, BLOB, Amazon S3 etc.)

Ø  Strong knowledge in SQL queries

Ø  Must have worked in full life-cycle development from functional design to deployment

Ø  Should have working knowledge of GIT, SVN

Ø  Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.

Ø  Should have working knowledge of different resources available in Azure like Storage Account, Synapse, Azure SQL Server, Azure Data Bricks, Azure Purview

Ø  Any experience related to metadata management, data modelling, and related tools (Erwin or ER Studio or others) would be preferred

Preferred Qualifications:

Ø  Bachelor's degree in Computer Science or Technology

Ø  Proven success in contributing to a team-oriented environment

Ø  Proven ability to work creatively and analytically in a problem-solving environment

Ø  Excellent communication (written and oral) and interpersonal skills

Qualifications

BE/BTECH

KEY RESPONSIBILITIES :

Location – Bangalore

• Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
  • programmatically ingesting data from several static and real-time sources (incl. web scraping)
  • rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
  • performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment

• Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
• Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
• Build data tools to facilitate fast data cleaning and statistical analysis
• Ensure data architecture is secure and compliant
• Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
• Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).

•  Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
• Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
• Expert in shell scripting and writing schedulers
• Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
• Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
• Strong knowledge of data security best practices
• 5+ years experience in a data engineering role
• Science / Engineering graduate from a Tier-1 university in the country
• And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep

Role : DevOps Engineer 

Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)

Location : Bangalore. 5 Days Working.

Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes 

Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to  work on, helping to enhance our product performance and reliability. 

Responsibilities: 

• Build & operate infrastructure to support website, backed cluster, ML projects in the  organization. 
• Helping teams become more autonomous and allowing the Operation team to focus on  improving the infrastructure and optimizing processes. 
• Delivering system management tooling to the engineering teams. 
• Working on your own applications which will be used internally. 
• Contributing to open source projects that we are using (or that we may start). 
• Be an advocate for engineering best practices in and out of the company. 
• Organizing tech talks and participating in meetups and representing Box8 at industry  events. 
• Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous  Integration/Delivery/Deployment (CI/CD) practices. 

Requirements: 

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing  amounts of traffic and new product requirements. 
• Ruby On Rails or Python and Bash/Shell skills. 
• Experience managing complex systems at scale. 
• Experience with Docker, rkt or similar container engine. 
• Experience with Kubernetes or similar clustering solutions. 
• Experience with tools such as Ansible or Chef Understanding of the importance of smart  metrics and alerting. 
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are  on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch). 
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers. 
• Managing large scale production grade infrastructure on AWS Cloud. 
• Good Knowledge on scripting languages like ruby, python or bash. 
• Experience in creating in deployment pipeline from scratch. 
• Expertise in any of the CI tools, preferably Jenkins. 
• Good knowledge of docker containers and its usage. 
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu. 

Good to have: 

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka,  Elasticsearch.