Responsibilities:
- Responsible for managing all aspects of the inside sales department and business generation process.
- Build a robust inside sales team that exceeds sales goals.
- Ensure that sales pipeline remains to the optimum with qualified leads & prospects.
- Source sales opportunities through email campaigns, social media and inbound lead management.
- Conducting webinars, online product demos and presentations with prospects.
- Look for opening up opportunities for product trials and POC’s
- Negotiation and final closure of the intended sale.
- Collect and decipher the key understanding of the client's requirements and how our various solutions can be implemented in the existing process flow to enhance and improve the same.
- Team with new and potential channel partners and distribution channels in different markets.
- Report on Sales metrics including Conversion Ratios
- Research accounts, identify key players and generate interest
- Analyse competitive prices of products and features available in the market
- Excellent verbal and written communication skills - fluency in verbal and written English is an absolute must.
- Proven work experience as an Inside sales manager.
- Excellent interpersonal and team management skills.
- Both Offshore & Onshore experience.
- Passionate to learn more about Virtualization, Cloud, IT Infrastructure and new trends.
- Strong experience with corporate sales and dealing with corporates that require IT solutioning and products (SAAS products, Cloud Services, Technology solutioning).
- Strong experience working with channel partners and resellers.
- Having an established track record of deal wins across various geographic regions and who can identify new targets and regions to grow the company’s sales footprint.
- Proficient in handling Digital marketing tools to help with SEO, SMM and DMM.
- In-depth understanding of the sales administration process.
- Experience in handling tools like GCP, AWS, PPC, Azure, EDM, Webinars, Blogs, etc. will be an added advantage.

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Job Type: Full Time
Location: Indore
Summary/Objective:
We are looking for an experienced and results-driven Digital Marketing Executive to join our dynamic marketing team. The ideal candidate will be responsible for implementing effective digital marketing strategies to optimize our online presence.
Responsibilities:
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• Social Media Marketing (SMM): Develop and execute social media strategies across platforms such as Facebook, Instagram, Twitter, and LinkedIn.
• Pay-Per-Click (PPC) Campaigns: Create and manage PPC campaigns to generate leads and increase brand visibility.
• Facebook and Instagram Setup: Manage the setup and maintenance of our Facebook and Instagram shopping features.
• Shopping Engine Product Feed: Oversee the submission of product feeds to various shopping engines and ensure they are optimized for maximum visibility and conversion.
• Data Analysis & Reporting: Utilize Excel for data analysis and creating detailed marketing reports to track performance and inform strategy.
• Social Media Post Scheduling: Utilize social media post scheduling tools to plan and publish content efficiently.
• Email Marketing: Implement email marketing campaigns using various tools to engage with customers and prospects.
Qualifications/Requirements:
Education:
• Bachelor's degree in Marketing, Digital Media, or related field.
Experience:
• Proven experience in digital marketing.
• Strong understanding of SEO, SMM, and PPC.
• Proficient in Microsoft Excel for report creation and data analysis.
• Familiarity with social media calendar planning and posting schedule.
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• Certifications in Google Analytics, Google Ads, or similar platforms.
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Employment Type: Full-time
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If you are exploring for opportunities to get a better work exposure & to get a chance to work for scalable products. Kindly go through the job description below & apply if you seem fit for this role.
𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗠𝗮𝗻𝗱𝗮𝘁𝗲𝘀 :
JavaScript, MongoDB, NoSQL, NodeJS/Go/Ruby/Python Data Structure, Algorithms, Product company/ Startup experience.
𝗥𝗼𝗹𝗲𝘀 & 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
" 𝗬𝗼𝘂'𝗹𝗹 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗼 𝗯𝗲 𝘂𝘀𝗲𝗱 𝗯𝘆 𝗳𝗮𝗿𝗺𝗲𝗿𝘀 𝗮𝗻𝗱 𝗮𝗴𝗿𝗶𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀".
-Be involved and participate in the overall application lifecycle
-Main focus on coding and debugging
-Collaborate with Front-end developers
-Build high-quality reusable code that can be used in the future
-Develop functional and sustainable web applications with clean codes
-Troubleshoot and debug applications
-Conduct UI tests and optimize performance
-Manage cutting-edge technologies to improve applications
-Collaborate with multidisciplinary team of designers, developers and system administrators
-Follow new and emerging technologies
𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 2+ years.
𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Patna / Work from Home
𝗦𝗮𝗹𝗮𝗿𝘆: As per market standards
Job Description
Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
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Experience
10+ Years
Location
Bozeman/Hyderabad
Skills
Required Skills:
Bachelors/Masters or Phd in Computer Science or related industry experience
3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow
7+ Years of industry experience in scripting languages such as Python, R.
7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing
Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc
Some experience in setting up large scale training data pipelines.
Some experience in using Cloud services such as AWS, GCP, Azure
Desired Skills:
Experience in building deep learning models for Computer Vision and Natural Language Processing domains
Experience in productionizing/serving machine learning in industry setting
Understand the principles of developing cloud native applications
Responsibilities
Collect, Organize and Process data pipelines for developing ML models
Research and develop novel prototypes for customers
Train, implement and evaluate shippable machine learning models
Deploy and iterate improvements of ML Models through feedback









