Sales Manager

Responsibilities

1.     End to end sales (Lead generation, Follow ups, Demo Presentation, Lead Closure, Client Facing) of company products and services

2.     Drive sales efforts within assigned accounts, identifying opportunities for upselling additional products or services and cross-selling complementary offerings to maximize revenue

3.     This is a critical role, and the person must possess a thorough knowledge of the organizations products/ services, working across all types of industries & building a cross-industry understanding. Initially this will be an individual contributor role but can be scaled up as per the demand & growth of the business.

4.     As a part of the Key Accounts Team of an assigned territory & Business, you will be charged up for the entire State.

5.     You must have specialized B2B knowledge, bias towards action and strive towards getting things done.

1. Ensure brand matrix productivity through effective business planning & market updates

1. Ensure timely follow-up on customer feedback, communicating progress and updates to clients and demonstrating our commitment to continuously improving their experience.

Qualifications

• Bachelor's degree in Business Administration, Marketing, Computer Science, or related field; MBA preferred.
• Proven experience in key account management, sales, or business development within the software industry.
• Strong understanding of software products and services, including SaaS, PaaS, and enterprise solutions.
• Excellent interpersonal and communication skills, with the ability to build rapport and influence decision-makers at all levels.
• Strategic thinker with a proactive approach to problem-solving and a track record of driving results.
• Ability to work collaboratively in a cross-functional team environment and thrive in a fast-paced, dynamic organization.
• Proficiency in CRM software and other relevant tools for account management and sales tracking.

If you are a motivated and customer-focused professional with a passion for technology and a drive for sales success, we invite you to apply for this exciting opportunity. Join us in delivering innovative software solutions and driving growth for our key accounts.

Top of Form

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance, and growth. 

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities. 

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation, and co-development to engineer next-generation software products with the help of accelerators. 

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions. 
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes. 

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We are constantly self-asses and realign to work with each customer in the most impactful manner. 

Pre-requisites for the Role 

1. Job ID-EMBD0120PS 

1. Primary skill: GCP DATA ENGINEER, BIGQUERY, ETL 

1. Secondary skill: HADOOP, PYTHON, SPARK 

1. Years of Experience: 5-8Years  

1. Location: Remote 

Budget- Open  

NP- Immediate 

GCP DATA ENGINEER 

Position description 

• Designing and implementing software systems 

• Creating systems for collecting data and for processing that data 
• Using Extract Transform Load operations (the ETL process) 
• Creating data architectures that meet the requirements of the business 
• Researching new methods of obtaining valuable data and improving its quality 
• Creating structured data solutions using various programming languages and tools 

• Mining data from multiple areas to construct efficient business models 
• Collaborating with data analysts, data scientists, and other teams. 

Candidate profile 

• Bachelor’s or master’s degree in information systems/engineering, computer science and management or related. 
• 5-8 years professional experience as Big Data Engineer 

• Proficiency in modelling and maintaining Data Lakes with PySpark – preferred basis. 
• Experience with Big Data technologies (e.g., Databricks) 
• Ability to model and optimize workflows GCP. 
• Experience with Streaming Analytics services (e.g., Kafka, Grafana) 
• Analytical, innovative and solution-oriented mindset 

• Teamwork, strong communication and interpersonal skills 
• Rigor and organizational skills 
• Fluency in English (spoken and written). 

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases
  • Experience with data pipeline and workflow management tools
  • Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

How would you leverage your technical expertise to create extraordinary impact for our clients?

ThoughtWorks is a global software consultancy with an aim to create a positive impact on the world through technology. Our community of technologists thinks disruptively to deliver pragmatic solutions for our clients' most complex challenges. We are curious minds who come together as collaborative and inclusive teams to push boundaries, free to be ourselves and make our mark in tech.

Our developers have been contributing code to major organizations and open source projects for over 25 years. They’ve also been writing books, speaking at conferences and helping push software development forward, changing companies and even industries along the way. 

You could influence the digital strategy of a retail giant, build a bold new mobile application for a bank or redesign platforms using event sourcing and intelligent data pipelines. You will use the latest Lean and Agile thinking, create pragmatic solutions to solve mission-critical problems and challenge yourself every day.

For a team to thrive, it needs active collaboration and room for healthy, respectful debate. Senior Developers are the technologists who cultivate this environment while driving teams toward delivering on an ambitious tech vision and acting as mentors for more junior-level consultants. They leverage their deep technical knowledge to solve more complex business problems and actively assess their team’s health, code quality and nonfunctional pipelines. 

You’ll spend time on the following:

• You will use continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible.
• You will work in collaborative, value-driven teams to build innovative customer experiences for our clients
• Create large-scale distributed systems out of microservices
• You will apply the latest technology thinking from our tech radar to solve client problems
• Efficiently utilize DevOps tools and practices to build and deploy software
• You will lead or take part in the entire cycle of software consulting and delivery from ideation to deployment and everything in between
• You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills 

Here’s what we’re looking for:

• You have at least 5 years of experience with two or more development languages such as Java, C#, or Ruby
• You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
• Presence in the external tech community: you proactively share your expertise with others via speaking engagements, contributions to open source, blogs and more
• Comfortability with Agile methods, such as Extreme Programming (XP), Scrum and/or Kanban
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed 
• You’re willing and able to commit to travel to client sites in order to solve their business problems
• You’re resilient in ambiguous situations and can approach challenges from multiple perspectives
• Bonus points if you have working knowledge of cloud technology such as AWS, Azure, Kubernetes and Docker