Sales Manager

We are seeking a skilled and passionate Digital Marketing Trainer (Freelancer) with 2 to 5 years of hands-on experience in the digital marketing domain. The trainer will be responsible for delivering high-quality training sessions on various digital marketing topics including SEO, SEM, Google Ads, Social Media Marketing, Email Marketing and Content Marketing. The role involves designing course content, conducting live sessions, guiding learners through practical assignments and projects, and preparing them for industry-recognized certifications. The ideal candidate should possess strong communication skills, up-to-date knowledge of digital marketing tools and trends, and a genuine interest in mentoring and developing future digital marketing professionals.

Job Summary:

We are seeking a talented and motivated Full Stack Web Developer with strong expertise in frontend technologies (HTML, CSS, JavaScript, jQuery) and backend development using Python. The ideal candidate will be responsible for designing, developing, and maintaining responsive and interactive web applications.

Key Responsibilities:

• Develop user-friendly web interfaces using HTML5, CSS3, JavaScript, and jQuery
• Design and implement responsive web pages for cross-browser compatibility
• Build backend logic and RESTful APIs using Python (preferably with Flask/Django)
• Integrate frontend components with backend services for full functionality
• Debug, test, and optimize code for performance and scalability
• Collaborate with UI/UX designers and other developers for seamless integration
• Maintain documentation and participate in code reviews
• Stay updated with the latest trends and technologies in web development

Required Skills:

Frontend:

• Strong knowledge of HTML5, CSS3, JavaScript
• Experience with jQuery and DOM manipulation
• Understanding of responsive design and cross-browser compatibility

Backend:

• Solid foundation in Python programming
• Experience with web frameworks like Flask or Django
• Knowledge of database integration (SQL/NoSQL)

Other:

• Familiarity with RESTful APIs and JSON
• Basic knowledge of version control systems like Git
• Strong debugging and problem-solving skills

Preferred Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field
• 1–3 years of experience in web development (for junior/mid-level roles)
• Experience with AJAX, Bootstrap, or other frontend libraries is a plus
• Exposure to cloud platforms (AWS, Azure, etc.) is an advantage

Benefits:

• Competitive salary and performance bonuses
• Flexible working hours / Hybrid or Remote options
• Learning and development opportunities
• Supportive and collaborative work culture

Sales Executive – IT SaaS Sales

Location: Remote

Experience: Minimum 1 year in IT SaaS Sales

Employment Type: Full-Time

About the Role

We are seeking a highly motivated and results-driven Sales Executive with a proven track record in IT SaaS sales. As a remote team member, you will play a pivotal role in driving revenue growth by identifying opportunities, engaging with potential clients, and delivering value through our SaaS solutions.

Key Responsibilities

• Lead Generation & Outreach:
• Identify, research, and qualify leads through various online channels, including LinkedIn, email, and other platforms.
• Build a robust sales pipeline to ensure consistent deal flow.
• Sales Process Execution:
• Conduct virtual product demos and presentations to illustrate the value of our SaaS offerings.
• Customize solutions based on client requirements and effectively communicate product benefits.
• Close deals efficiently while meeting or exceeding monthly and quarterly targets.
• Client Relationship Management:
• Build and maintain long-term relationships with prospective and existing clients.
• Provide exceptional post-sales support to ensure client satisfaction and retention.
• Market Research & Feedback:
• Stay informed about industry trends, competitor offerings, and emerging technologies.
• Share market insights and client feedback with the product and marketing teams to drive innovation.

Required Skills & Qualifications

• Minimum 1 year of experience in IT SaaS sales or a similar role.
• Proven ability to meet and exceed sales targets in a remote work environment.
• Strong communication, negotiation, and presentation skills.
• Self-motivated, disciplined, and capable of managing time effectively in a remote setup.
• Proficient in using CRM tools (e.g., Salesforce, HubSpot) and virtual collaboration platforms.
• Tech-savvy with the ability to quickly grasp new software and tools.
• Bachelor’s degree in Business Administration, Marketing, or a related field is preferred.

What We Offer

• Competitive salary with performance-based incentives.
• Flexibility to work remotely from anywhere.
• Opportunities for professional growth and development.
• A supportive and inclusive workplace culture with a focus on innovation.

DevOps Engineer, Plum & Empuls 

As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.

Key Responsibilities

• Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Working on Docker images and maintaining Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Working on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
• Required Technical and Professional Expertise.
• Minimum 4-6 years of experience in IT industry.
• Expertise in implementing and managing Devops CI/CD pipeline.
• Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
• Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
• Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience with working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience and well versed with Jira tool is a plus.

We are

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, San Francisco, and Dublin. Empuls works with over 100 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

Way forward

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status

Magassians is looking for a passionate backend engineer. It will be expected from you to build pragmatic solutions on mission-critical initiatives. If you know your stuff, see the beauty in code, have knowledge in depth and breadth, advocate best practices, and love to work with distributed systems, then this is an ideal position for you.

You will be responsible for:

• Designing the architecture of the core platforms of Magna5's products.
• Spend the majority of your time writing and reviewing code.
• Work with the team in defining the timelines for the deliverables
• Share knowledge with peers through brown bags and meetups

We are looking for:

• 3 -5 years of overall software development experience
• 1 year of Go programming experience
• Expertise working on SQL and No-SQL databases
• Experience using HTTP and AMQP transport mediums and streaming technologies like Kafka and NATS-Streaming
• Inner-drive to take the team to the next level in a fast-paced environment

Interview Process:

Our interview process is short and straightforward, with three rounds.

• Code - The first thing we look at is your ability to write code and tests. If you can share something, we can take a look great. Otherwise, we will send you an assignment.
• Technical Round - We schedule a technical round that can go up to 2 hours, where we have technical discussions plus remote pairing sessions.
• Culture Fit & Compensation - We double-check the potential team member is a culture fit. Culture fit is as important to us as writing code. Once we know that you are a great fit, we discuss and finalize numbers on the same call. You will have three days to take up the offer.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning