Customer Support Executive

Job Title : Ironclad CLM Consultant (Analyst/Consultant Level)

Experience Required : 3+ Years

CTC: Up to 25 LPA

Location : Hyderabad, Bangalore, Mumbai, Pune, Chennai, Gurgaon

Work Mode : Hybrid

Job Summary :

We are seeking skilled professionals with hands-on experience in Ironclad Contract Lifecycle Management (CLM) to join our team. The ideal candidate will have a strong understanding of contract configuration, including MSAs, SOWs, and other templates, as well as experience integrating Ironclad with Salesforce. This role is suited for Analyst or Consultant-level candidates.

Mandatory Skills : Ironclad CLM (2–2.5+ years), contract template configuration (MSAs, SOWs), Ironclad-Salesforce integration, 2–3 implementation projects.

Key Responsibilities :

• Configure contract templates (e.g., MSAs, SOWs) within Ironclad CLM.
• Participate in and deliver 2-3 end-to-end Ironclad implementation projects.
• Integrate Ironclad with CRM tools, especially Salesforce.
• Collaborate with cross-functional teams to define requirements and implement solutions.
• Provide documentation, testing, and support for Ironclad-related projects.

Must-Have Skills :

• 2–2.5+ years of hands-on experience in Ironclad CLM.
• Experience with at least 2-3 Ironclad implementation projects.

Good-to-Have Skills :

• Working knowledge of Salesforce CRM.
• Familiarity with Salesforce CPQ.

Job Description :

We are seeking a highly experienced Sr Data Modeler / Solution Architect to join the Data Architecture team at Corporate Office in Bangalore. The ideal candidate will have 4 to 8 years of experience in data modeling and architecture with deep expertise in AWS cloud stack, data warehousing, and enterprise data modeling tools. This individual will be responsible for designing and creating enterprise-grade data models and driving the implementation of Layered Scalable Architecture or Medallion Architecture to support robust, scalable, and high-quality data marts across multiple business units.

This role will involve managing complex datasets from systems like PoS, ERP, CRM, and external sources, while optimizing performance and cost. You will also provide strategic leadership on data modeling standards, governance, and best practices, ensuring the foundation for analytics and reporting is solid and future-ready.

Key Responsibilities:

·               Design and deliver conceptual, logical, and physical data models using tools like ERWin.

·               Implement Layered Scalable Architecture / Medallion Architecture for building scalable, standardized data marts.

·               Optimize performance and cost of AWS-based data infrastructure (Redshift, S3, Glue, Lambda, etc.).

·               Collaborate with cross-functional teams (IT, business, analysts) to gather data requirements and ensure model alignment with KPIs and business logic.

·               Develop and optimize SQL code, materialized views, stored procedures in AWS Redshift.

·               Ensure data governance, lineage, and quality mechanisms are established across systems.

·               Lead and mentor technical teams in an Agile project delivery model.

·               Manage data layer creation and documentation: data dictionary, ER diagrams, purpose mapping.

·               Identify data gaps and availability issues with respect to source systems.

Required Skills & Qualifications:

·               Bachelor’s or Master’s degree in Computer Science, IT, or related field (B.E./B.Tech/M.E./M.Tech/MCA).

·               Minimum 4 years of experience in data modeling and architecture.

·               Proficiency with data modeling tools such as ERWin, with strong knowledge of forward and reverse engineering.

·               Deep expertise in SQL (including advanced SQL, stored procedures, performance tuning).

·               Strong experience in data warehousing, RDBMS, and ETL tools like AWS Glue, IBM DataStage, or SAP Data Services.

·               Hands-on experience with AWS services: Redshift, S3, Glue, RDS, Lambda, Bedrock, and Q.

·               Good understanding of reporting tools such as Tableau, Power BI, or AWS QuickSight.

·               Exposure to DevOps/CI-CD pipelines, AI/ML, Gen AI, NLP, and polyglot programming is a plus.

·               Familiarity with data governance tools (e.g., ORION/EIIG).

·               Domain knowledge in Retail, Manufacturing, HR, or Finance preferred.

·               Excellent written and verbal communication skills.

Certifications (Preferred):

·               AWS Certification (e.g., AWS Certified Solutions Architect or Data Analytics – Specialty)

·               Data Governance or Data Modeling Certifications (e.g., CDMP, Databricks, or TOGAF)

Mandatory Skills

aws, Technical Architecture, Aiml, SQL, Data Warehousing, Data Modelling

𝗝𝗼𝗯 Description:-

This is a full-time on-site role for a Sales Manager . The Territory Sales Manager will be responsible for communication with clients, sales activities, customer service, training, and sales management.

1. Business Development :

• Devise effective territory sales and marketing strategies.

• Professionally handle incoming requests from customers within

defined territory.

• Generate new business leads or opportunities based on

similar/existing solutions provided to customers.

• Thoroughly and effectively gather customer information.

• Maintain a balance between company policy and customer

benefits.

• Continuously evaluate and identify opportunities to drive process

improvements.

• Present products and services to prospective customers.

• Perform product demonstration.

• Active participation in tender.

• Early engagement with PSU & private customers for requirement.

• Achieving assigned territory business target.

• Implementing effective strategies to maximize profitability.

• Effectively handling customer negotiation to ensure maximum

order value & profit with favorable T&C to the organization.

• Payment follows up

2. Customer Relationship :

• Knowledge of Support/Communication etiquettes for general day

to day client communication.

• Communicate with client for ongoing Issues / Product Trainings.

• Administer regular feedback from the customer for product

improvement.

• Working with a team or individually to enhance customer

experience and solve grievances.

3. Data Management :

• Work on Supports in-house tasks like updating timesheet, prepare

Weekly Reports etc.

• Opportunity Follow up and Update in CRM System with precise

order closing details (e.g., time & amount).

• Prepare and submit reports weekly/monthly MIS reports to the

Regional Manager.

• Ensure accurate opportunity/customer details to be entered in CRM

System.

4. Business Analysis :

• Analyze data to find the most efficient sales methods.

• Discover sales opportunities through market research.

• Participate in industry or promotional events (e.g., trade shows) to

cultivate customer relationships.

• Monitor competition within assigned region.

Qualifications :

Minimum 3-8 years + of experience in the industry.

Experience in Technical sales like AVEVA system platform, IIOT, Wonderware ,Industry 4.0 preferable.

Ability to travel when required.

KEY RESPONSIBILITIES

·      Develop high-quality database solutions.

·      Use T-SQL to develop and implement procedures and functions.

·      Review and interpret ongoing business report requirements.

·      Research required data.

·      Build appropriate and useful reporting deliverables.

·      Analyze existing SQL queries for performance improvements.

·      Suggest new queries.

·      Develop procedures and scripts for data migration.

·      Provide timely scheduled management reporting.

·      Investigate exceptions with regard to asset movements.

MUST-HAVES FOR THIS GIG

T-SQL, Stored Procedure, Functions, Triggers, XML Operations, JSON support on SQL 2016 and above SSIS, SSRS, CTE, EAV Data structure, Integration with NoSQL(MongoDB), SQL Server Indexes, Bulk Insert, BCP, CMD Shell ,Memory Optimization, Performance Tunning, Query Optimization, Database Designing, Table Joins, SQL Server Job agent

Backup and Maintenance plan ,Data Migration, Good Communication

NICE-TO-HAVES FOR THIS GIG:

• Working knowledge of mobile development activity.
• Working knowledge of web hosting solution on IIS7.

Experience working with an offshore –onsite development process 

Wolken Software provides a suite of AI-enabled, SaaS 2.0 cloud-native applications for Customer Service and Enterprise Solutions namely Wolken Service Desk, Wolken's IT Service Management, and Wolken's HR Case Management. We have replaced incumbents like Salesforce, ServiceNow Zendesk, etc. at various Fortune 500 and Fortune 1000 companies.

Duties and Responsibilities

• Design and Review wireframes, and UI designs for the company website. Create social media posts including static posts, motion graphics & self-shot videos, explainer and product demo videos, and marketing collaterals viz. Brochures, emailers, standees, presentations, and any other collateral required.
• Have a keen eye on more delicate details in design principles, concepts, layout, alignment, visualization, etc.
• Work on Adobe XD, Photoshop, Illustrator, Canva, and other design tools to deliver prototypes, flows & ideas.
• Keep coming up with new ideas, modern designs, styles, and concepts for the creatives.
• Be responsible for meeting deliverables on time and in high quality.
• Have an in-depth understanding of what we do as a company and put that neatly into designs
• Have an eye for usability, minimalism, and simplicity.
• Think, argue, analyze, strategize, and iterate. 

• 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.

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases

• IMMEDIATE JOINEE.
• Work with other engineers to develop and test tools and applications used by team on daily basis
• Play a significant role in the ongoing evolution and refinement of current tools and applications
• Triage, troubleshoot, escalate and provide resolution to production issues.
• Reproduce, document and escalate product defects to the Engineering Team.
• Provide well-thought out and reliable direction, both in technical and non-technical terms, to help customers.
• Take ownership of customer issues, including initial troubleshooting, identification of root cause and issue resolution or escalation.
• Identify and escalate priority issues that need immediate attention.
• Collaborate with cross functional teams which requires strong presentation skills and attention to details
  
  
• BA/BS degree in Computer Science or related technical field or equivalent work experience. MS degree is preferred.
• 9+ years development experience in JAVA (using OO Design and Analysis, Design Patterns, etc.)
• High experience in Java 8 Required.
• 4+ years’ experience building highly scalable, distributed and reliable Restful Web Services using Spring, Jersey, etc.
• Should have knowledge on Cloud applications preferably on AWS.
• Knowledge on building Front end applications using JavaScript, AngularJS, HTML5, CSS3.
• Experience with relational DBs like MySQL and NoSQL Database like MongoDB, Solr/Lucene will be a plus.
• Experience with Tomcat, Jax-RS, REST, JPA, IntelliJ, Groovy, Hibernate is must.
• Experience with build technologies like Gradle, Jenkins will be a plus.
• Experience with Test Driven Development using TestNG/Junit testing frameworks.
• Experience working with version control like GIT.

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