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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Raka Oil Company
About
RAKA Oil Company got associated with Indo Mobil in the year 2001, saw the merger to ExxonMobil and today we cater to both the Industrial and Automotive segments for ExxonMobil. Raka Oil Company has been distributing quality lubricants, Goodyear tyres and Basf coolants in major parts of Maharashtra and Goa.
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Job description
A medical representative promotes and sells pharmaceutical products to healthcare specialists, such as doctors and pharmacists. They provide information about various products' benefits, usage and dosage, to increase product awareness and sales.
Role: Field Sales Executive
Industry Type: Pharmaceutical & Life Sciences
Department: Sales & Business Development
Employment Type: Full Time, Permanent
Role Category: Retail & B2C Sales
Education
UG: Any Graduate
Key Skills
Commercial awareness. Presentation skills. Research skills. Resilience. The ability to negotiate and collaborate. Patience. Strong interpersonal and communication skills. Organizational skills.
Data Journalist
Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.
What You'll Do:
- To generate ideas for data-driven stories and for how they might be developed and visualized
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Job Category: Data Science
Job Type: Full Time
Job Location: Bangalore
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Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
About SLAY
SLAY Coffee is India's best rated and fastest growing coffee brand with a vision to democratise great coffee experiences through technology & innovative customer experiences. With 3 core lines of business (SLAY Cloud for Online, SLAY Coffee Bars for Grab & Go and SLAY Packaged Coffees for home consumption), SLAY Coffee’s core promise is sophisticated convenience at pocket friendly prices. The brand is 2-years old and currently has a footprint of over 150 locations across 8 cities.
Culture at SLAY
Excellence is our North Star and our culture fuels this pursuit. We work together as a sports team*; each member is united by a common purpose and drives excellence by bringing their unique self to the team.
We aim to build and nurture a team that finds meaning and fulfillment in the work they do at SLAY. If who you are and what you value is in alignment with what SLAY is and what we value, then the pursuit of excellence becomes meaningful.
The following principles guide us in our day to day working at SLAY:
- Customer first
- Transparency
- Simplicity in thought and action
- Long term thinking
- Passion
- Data over opinion, company and team over self
- Integrity and respect
- Communication for impact
Core Values
Our core values define how we operate and bring about an alignment of purpose. We learn and get inspired from each other in strengthening these behaviors & skills both at an individual level and collectively at the Company level. New members are added to the team and existing team members are rewarded and developed based on these values.
- Courage:
- To think big, act without fear and voice your opinion.
- To question the status quo- go beyond rules and hierarchies.
- To act in the best interest of the customer and company, even if it calls for going outside your comfort zone.
- Ownership:
- Seek to understand the context and objective, then drive for results
- Collaborate independently across teams
- Communicate proactively. Eliminate the need for follow ups
- Act with authority
- Action
- Prioritize action over discussions
- Run small pilots for each idea
- Make mistakes, learn, don't repeat.
- Curiosity
- To understand our customers and markets deeply beyond the stated
- To push the boundaries and innovate
- To never settle for less
Beyond the salary (and great coffee!)
- Freedom to test out any idea in your function or outside of it.
- Gender-neutral policies
- Free Books Program- buy any book that you would like to read for the company library. The Company pays for it.
- 25% of your time can be devoted to the causes you care about. (Pursue your passion or hobby)
- Exclusive talks & insights from the experts for the growth & development of our team
- Full tuition fees sponsorship for Baristas
- Family support programs for Baristas
Opportunity
As a team member in SLAY’s growth team, you will work on projects to grow the brand’s reach, resonance and resultant goodness.
Your Boss
You will work directly with the Co-founder . This position is being hired for the Centre of Excellence team at SLAY.
Your Team
You will collaborate with business teams to develop in house training & learning strategies, creative teams to develop impactful creatives, operations teams for execution & external partners to set up and manage specific learning and development initiatives..
Key Result Areas
- Drive technology first learning interventions for all members of the organization.
- Design and deploy the end to end training framework from training needs identification to continuous assessments and certifications.
- Develop content using instructional design methodologies. Suggest and deploy new age and industry first tools and systems.
- Own the competency dictionary of the organization and drive brand values and culture through culture philosophy through all training and development activities.
- Manage and guide the training team which will include instructional designers, content developers, training coordinators etc.
- Keep abreast of training trends, developments and best practices of the Industry.
Your role requires knowledge and demonstrable experience of:
- 6+ years of experience in developing and executing successful training initiatives.
- Familiar with traditional and modern training processes
- Meticulous attention to detail
- Ability to plan, multi-task and manage time effectively
- Entrepreneurial with the ability to think of industry first and rule breaking initiatives
- Organizational skills
Next Steps:
If you wish to explore this opportunity further,
- Send us a copy of your latest resume
- A quick note on what excites you about working with SLAY. You can do this as an audio file, video file or a simple write up as well.
- We will schedule one to one interactions with your potential boss, team members and peers.
Spring BootJavaWissen Technology is now hiring for a Java Developer with hands-on experience in Core Java, multithreading, algorithms, data structure and SQL skills. (Spring boot is mandatory)
We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team.
A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high end technical consulting.
Required Skills :
Exp – 4 to 10 years (Bangalore/Mumbai)
Experience in Core Java and above, CXF, Spring.
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Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
Knowledge of multi-threading and high volume server side development
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Basic working knowledge of Unix/Linux
Excellent problem solving and coding skills in Java
Strong interpersonal, communication and analytical skills.
Should have the ability to express their design ideas and thoughts.
About Wissen:
Wissen Technology is a specialized technology practice for high end consulting primarily geared towards the domains of Banking & Finance, Telecom, and Healthcare. Established in the year 2000 in the US, we have global offices in US, India, UK, Australia, Mexico and Canada, with best in class infrastructure and development facilities spread across the globe. We are an end to end solution provider in Banking & Financial Services, Telecom, Healthcare, Manufacturing & Energy verticals and have successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies. We have more than 1400 highly skilled professionals.
We offer an array of services that includes Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation and Infrastructure Management. Wissen is uniquely positioned to help clients with Building Enterprise Systems, Implementing a Digital Strategy and Gaining Competitive Advantage with Business Transformation.
Wissen Technology is been certified as a Great Place to Work® company in 5 years of inception which is a testament to our progressive and flexible work culture. As we cast our eyes to the future, we remain committed to our core philosophy of our management team ‘Employee First’.
FlutterAndroid Development
iOS App Development- Designing and developing applications. ...
- Write clean code. ...
- Take part in the development lifecycle. ...
- Fix bugs. ...
- Investigate technologies. ...
- Follow innovative trends. ...
- Define your objectives. ...
- Look for the Flutter application development cycle
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HTML/CSSour community of consumers and enthusiasts, and meets the functional needs of our customers and
partners.
• Rapidly building prototype web user interfaces.
• Driving improvements in usability and interactivity of Zeta's web properties.
• Implementation of a pixel-perfect UI/UX with a focus on driving customer engagement and creating
beautiful and unobtrusive user flows.
• Collaborate across engineering, marketing, product management, customer support and design groups
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- Make outbound cold/warm calls to find qualified leads
- Good knowledge of internet search techniques to identify potential clients / partner companies and update the prospect database
- Follow up on inquiries, engage in intelligent conversations with these inquiries leading to appointments and demo requests with client
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- Research, prospect and identify large customer opportunities ensuring sufficient numbers in the funnel to ensure target attainment
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon