This new age venture is set to bring about a pain free and healthy future for young and old alike.
As a Corporate / Enterprise Sales Manager, you will be responsible for building the enterprise sales & associations. You will be partnering closely with the Marketing Team to align on integrated campaigns, strategic business initiatives, improve processes, and ultimately generate qualified meetings and pipeline for the organization.
- Researching, identifying, sourcing, generating and nurturing new sales opportunities, target identification & classification.
- Engaging with potential clients and nurturing them to a qualified opportunity.
- Remaining abreast to latest trends in the HR & workplace landscape to generate meaningful conversations and sales opportunities in the target market.
- Understanding customer needs and requirements and bring them into a sales cycle through a solutions based approach.
- Concluding the sale transaction.
- Tracking after sales performance and customer satisfaction.
- Creating references and building upon them.
- Providing effective & actionable feedback to the marketing team.
Desired Candidate Profile
What you need to have:-
2-4 years experience in B2B enterprise sales or Selling enterprise tech products in Finance or HR domain with corporates.
- Well versed with the ways of working of large companies and decision making process.
- Excellent communication skills and has to have good understanding of HR & health & wellness trends along with the buzz on social media.
- Fair understanding of sales performance metrics.
- Excellent negotiation, communication, time management and organizational skills.
- Proven ability to understand client pain points and proposing solutions.
- Proven ability to work and effectively communicate with C-level executives and line of business representatives.
Shubham Vishwakarma
Full Stack Developer - Averlon
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- Energy: Oil and Gas, Wind Turbines
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- 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:
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- 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
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Full Stack Developer - Averlon