Business Development Executive

• Strong Social Media Manager Profile
• Mandatory (Experience 1) – Must have 1+ years of experience in social media management.
• Mandatory (Experience 2) – Must have proven experience managing content for Instagram and YouTube.
• Mandatory (Core Skills 1) – Must have experience in coordinating with video editors/graphic designers to deliver engaging content.
• Mandatory (Core Skills 2) – Must have excellent caption writing skills and ability to create engaging, trend-driven content.
• Mandatory (Company) - Product Startup Companies OR Highly Preferred - Online Gaming Companies
• Mandatory (Location) - Candidate must be based out of Mumbai

Preferred Companies

1. Dream 11 2. Mobile Premier League (MPL) 3. PokerBaazi 4. Zupee 5. Probo 6. Games 24x7 7. Winzo 8. Paytm First Games 9. Junglee Games 10. Adda52 11. My11Circle 12. RummyCulture/Rummy

2-3 years of proven experience as a sales or in a similar role.

•Strong written and verbal communication skills.

•Strong technical knowledge of equipment and elevator systems. •Excellent communication and presentation skills.

•Time management and ability to meet deadlines

•Strong problem-solving skills and a customer-focused approach. •Proficiency in CRM software and Microsoft Office Suite (Excel, Word, PowerPoint).

•Valid driver’s license and willingness to travel as required.

•Ability to work independently and manage time effectively in a field-based role

Work Details: approx. 3-4 Months of development work and require support for next 3 months.

Job Role:

The selected professional/company will be responsible for:

1. Understanding our software's API structure and Oracle SOA framework.
2. Developing and implementing API integrations to connect our software with the specified Oracle SOA modules.
3. Ensuring seamless functionality and data synchronization between systems.
4. Performing rigorous testing to validate the integrations.
5. Providing ongoing support, troubleshooting, and resolving any issues during and after the integration process.
6. Setup the Development/UAT environment for the Oracle SOA integrations.

Modules to Integrate:

• Purchasing
• Payables
• Supplier
• Inventory
• General Ledger (GL)

Scope of Work:

1. API Integration: Establish seamless integration of APIs between our software and the above-mentioned Oracle SOA modules.
2. Data Flow & Functionality: Ensure smooth data flow and consistent functionality between systems.
3. Support & Troubleshooting: Provide support and resolve any issues arising during the integration process.
4. Relevant Experience: Demonstrate prior experience with Oracle SOA integrations.

We are looking for professionals or organizations capable of delivering on these requirements effectively.

• Engage with our clients primarily through email, phone, or our ticketing system
• Understand client needs and tackle problems
• Think creatively about technical issues and find ways to change showstoppers into positive ways forward
• Work closely with internal teams and external partners to deep dive on a customer request or Issue to provider resolution within SLA.
• Manage workflow using our systems to ensure nothing falls to the bottom of the to-do list
• Keep current on product releases and updates
• Share the knowledge among your fellow trouble-shooters and create knowledge articles when necessary
• Support Customers working with Migration teams on Data Migrations to our Platform.
• Work on migrating sensitive customer data from a third-party investment platform or Excel to SyndicationPro with minimal supervision.
• Understand the client’s needs and set up the SyndicationPro platform to meet customer expectations.
  
   

• A passion for solving problems.
• A way with words that makes technical topics easy to understand
• A keen eye for getting to the root cause of an issue
• A love of helping people
• An ability to manage multiple needs and keep them all on track
• A strong ethos towards helping the team win
• Prior experience in SaaS environments
• Experience with MS Office and data programs
• Attention to detail
• Confidentiality

• Experience in writing professional Emails
• Experience in handling a high volume of customer queries
• Must have 1-2 years of prior experience in SAAS environments.
• Must be comfortable working during night shifts.

**Responsibilities**

1. Active management right from the initial stage till the end of the product life cycle to deliver high-quality products.
2. Write, prioritize requirements, manage and facilitate the product development lifecycle from inception to release.
3. Specify market requirements for current and future products by conducting market research supported by ongoing visits to customers and non-customers.
4. Lead the product strategy through to development and deployment, working with leaders in business from sales, marketing, operations, and development.
5. Develop and implement a company-wide go-to-market plan, work with all the departments to execute.
6. Analyze potential partner relationships for the product.
7. Work with an engineering counterpart to define product release requirements.
8. Discover products as per customer need with current marketing trends.
9. Work with the marketing team to identify the requirements from the sales and create product requirement documents.
10. Interact with clients and the technology team.
11. Work with external third parties to assess partnerships and licensing opportunities.

**Skills**

1. Must have Effective oral and written communication skills.
2. Must have Excellent interpersonal skills and presentation skills.
3. Must have Organizational skills and the ability to understand detailed information.
4. Must have Knowledge of current marketing trends.
5. Must have People management & leadership.
6. Must be resourceful, innovative, self-motivated, and confident in high-stress situations
7. Must have Product Management, Product Development understanding.
8. Must have good analytical and troubleshooting skills with end-users / customers.
9. Must have competitive intelligence.

Perks and Benefits

The company provides medical insurance and other benefits.

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