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Hi All,
Greetings from LMV Group!!!
We are looking for Agency Channel Sales Manager for Life/Health/General Insurance Sales Domain.
Experience Required -mini 2yr. -Max6yr.
Location-Mumbai, Pune, Hyderabad, Banglore, Chennai, Rajahmundry, Vizag, Vijayawada Mysore
No of Vacancy -10+
Candidate must have prior work experience in the relevant domain.
Can able to Recruit agents and generate revenue for the organization. Having Good Potential as an Individual performer.
∙Primary Skills: Life Insurance and Annuity domain knowledge
∙Secondary Skills: Functional testing knowledge, Functional test design. Insurance domain
knowledge
∙Analyze life insurance processes and translate them into functional specifications. Act as a
liaison between business users and technical teams to ensure alignment. Conduct gap analysis,
impact assessments, and support solution design. Participate in system testing, UAT support, and
user training.
∙Policy Administration: Develop and implement policies to ensure efficient and effective
management of life insurance and annuity products.
∙Claims Handling: Collaborate with clients to resolve claims in a timely and fair manner.
∙Agent Compensation: Work with agents to establish compensation structures that incentivize
sales and customer satisfaction.
∙Consulting Engagements: Partner with clients on various consulting projects, providing expertise
and guidance on life insurance administration.
∙Application Enhancement Requirements: Define and prioritize requirements for application
enhancements to improve the overall user experience.
∙Automation: Explore opportunities for automation to streamline processes and increase
efficiency.
∙Training and Mentoring: Provide training and support to less experienced team members to
ensure knowledge sharing and skill development.
∙Automation frameworks and reporting tools.
∙Writing, executing, monitoring and maintenance of automated test suites.
∙CI/CD tools knowledge and Agile process
∙Database- MySQL, Oracle
5-9 years of experience in SAP CAR- Local Candidate
Position Responsibilities:
You will co-ordinate and take the role of a Support consultant and support applications in your area of responsibility i.e, Retail – SAP CAR
You will contribute to the success of the implementation by applying knowledge of
POS Interfaces with CAR
CAR Inbound and Outbound Interfaces
Promotion Management in CAR along with OPP
SLT Data Setup between CAR and ECC
UDF/DDF Engines in CAR
CAR RDS Setup
Position Requirements / Minimum qualifications:
BE/B.Tech or equivalent and above degree in Computer Science or a related field.
5-9 years of experience in SAP CAR
Good experience on supporting the SAP CAR landscape
Minimum 2 end-to-end implementation of SAP CAR
Exposure to POS DTA, Integration of CAR with different systems
Preferably experienced in S4 HANA Implementation.
- Chennai – L2 support – on shifts (morning and afternoon) 2 days a week from office
- Retail exp.
- SAP CAR
- POS DTA
- 3 integration layers – Idoc is mandatory
- Immediate
- 1 round of interview
About Klenty
Klenty is a Software Product company operating in the Sales Engagement category.
One of the fastest growing SAAS startups in the sales engagement space, Klenty is headquartered in California and operates from Chennai, India.
Klenty’s Sales Engagement Product helps thousands of sales teams automate all the repetitive activities involved in the sales process like sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus more on activities like building relationships and closing deals.
With over 3000 customers all over the world, we are on a mission to transform every B2B Sales team into an unstoppable force
Join us in building the future of sales engagement software
Roles & Responsibilities
1. Ensure that the application doesn’t misbehave under changing user load and that no bugs or errors reach the end-users.
2. Understands and analyze performance test requirements - Develops performance test script suite and Executes tests —> Captures —> Analyzes results.
3. Conduct system performance testing to ensure system reliability, capacity and scalability and reports performance test progress & defects.
4. Maintains performance script repository.
5. Writing test scripts of various test phases like integration, regression, system.
6. Analyzing users stories / Use cases / requirements for validity and feasibility.
7. Interact with SMEs & Business to gather PT/PE requirements.
8. Identifying tools and techniques to improve testing quality and efficiency.
9. Raise issues or concerns to the stakeholders upfront and if required come up with mitigation plan.
10. Collect all metrics (Client Side, Server Side, DB, Network and Load Balancer) and analyse the performance metrics and bottlenecks to suggest corrective actions.
11. Design and create benchmark scenarios and prepare performance benchmark documents.
12. Prepare test summary reports for management review.
13. Collaborate closely with other team members and departments and assist in other performance engineering activities as needed.
Seniority Level - Entry level
Industry - Information Technology & Services
Employment Type - Full-time
Job Functions - Product Development
Employment Type - Full-time
Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
- HTML/CSS/ES6 Javascript, Java 8 and any Java based web framework
- Adobe experience Manager (AEM) Apache Sling, JCR, OSGI
- Good knowledge in Apache Sling framework
- Good knowledge in Java content repository API
- Good knowledge in Apache Jack rabbbit framework
- Knowledge of OSGI and Declarative Services
- Strong understanding of REST Principles and Hands on experience REST based API development
- Knowledge of Patterns and good practices to design and develop quality and clean code
- Experience in Pair programming and code reviews
- Experience with testing at all levels unit, integration, functional and performance
- Experience in Agile Project (Scrum or SAFe) execution is a must
- Familiarity with git, basic git branching strategies, working in a peer-reviewed environment,able to code to existing patterns/styles
- Familiarity with task management, bug tracking and wiki-based documentation tools like Jiraand confluence
- AEM BE developers must have modern ES6 javascript experience as well as java developer experience
- Must be comfortable working with AEM workflows, scheduled jobs, creating/modifying jcr
- nodes via java code, and accessing REST endpoints via java code
- Ability to create custom AEM CQ components and a good exposure to both core and
- foundation components that can be inherited in AEM
- Good understanding of AEM web development framework using Apache Sling
- Create multiple OSGI Bundles in the AEM stack based on the requirements of the Project
1. Strong knowledge in Front end scripting like EJS, JavaScript, Jquery
2. Proficiency with fundamental front-end languages such as HTML, CSS.
3. Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
4. Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net
5. Good Understand with database technology such as MySQL, Oracle, and MongoDB.
Testsigma is built to make test automation effortless. We are a fast-growing, product-based startup backed by leading global Investors like Accel, STRIVE and Marquee Angels.
We are the first and leading open-source test automation platform. With product-market fit and a terrific team, we’re poised to capture the global market for AI driven, cloud-based test automation platforms.
We are inviting the right people to scale our growth, who can help us grow our teams in collaboration with product, engineering, and customer success teams. If you have a great attitude and a drive to succeed, hop on this test automation journey with us. Learn new technologies & grow your skills along the way!
Job Responsibilities:
- Manage the day to day operations of Inside Sales Team
- Ensure customer details are complete and correct, also collect contact details, profiles, and nature of business.
- Enrich leads by finding information about the person and the company who has signed up for the product.
- Identify key contacts at prospect accounts based on title and responsibilities
- Assign the leads to the respective salesperson according to category (start-up, SMB, Enterprise) and region.
- Ensure the team keeps all activity, customer information, notes, and documents up-to-date in http://salesforce.com/">salesforce.com and other relevant systems.
- Track daily sign-ups and demo requests and ensure they are all treated within 24 hours
- Help the SDR team with the right companies and personas to target.
Requirements :
- Fluency in prospecting tools and platforms (lead generation, email, phone, data enrichment & cleansing, BDR processes, etc.)
- Sound knowledge of Microsoft Excel is Must.
- Hands-on with social media - LinkedIn Sales Navigator.
- Experience with salesforce automation systems will be an added advantage
Candidates from SAAS , Technogy or product background with minimum 2 years experienced.
Job location: Mumbai/Pune/Bangalore/Noida/Chennai/Hyderabad
Experience- 3 to 10 years
Skill: Oracle EBS SCM Functional
NP – Immediate to 30 days max
• Mandatory Modules: Inventory, Purchase Order, Order Management.
• Skill: Oracle Supply Chain Management Functional Consultant
• Hands-on experience in Oracle SCM 11i & R12 with good English (Written + Verbal) communication skills, team player, ready to travel / relocate & available at short notice.
• Should have extensively worked on Oracle EBS Support/implementation/upgrade Projects should be aware of the solution design, documentation, and AIM/OUM methodology.
• Expertise in Modules OM, Purchasing, Inventory.
• Industry experience in Supply Chain Industry will be an added advantage.
• Ready to work in Shifts by rotation if required.
Role Description:
- Lister is actively engaged with client across digital transformation and engineering
- As a part of this engagement, you will be working with our clients on solution design and architecture, technology decisions, while co-ordinating technical efforts for the team
- As a Technical Lead:, You will need to collaborate with Solution Architects define technology
- roadmap, evaluate/recommend technologies, architect and design solutions, Work
- with other developers to oversee the development and implementation
- You will translate functional requirements from business stakeholders to the technical
- team for implementation
- You will need to troubleshoot design flaws and system bottlenecks
- You will have to be hands-on with code reviews and evaluate implementation for performance and scale
- Manage communication between our clients and internal teams in India and USA
- Coordinate with the offshore team to deliver projects across work streams, Identify risks, issues and blockers to progress and mitigate them for the team
- Rapidly gain an understanding of project requirements and drive execution
- Work with delivery team to ensure the highest quality of materials are being produced and all client needs are met.
Skills Required:
- Excellent understanding of backend and frontend components in the following stack: NodeJS, TypeScript, Javascript, ReactJS, multiple RDBMS and NoSQL databases like Postgres, MySQL, MongoDB Experience of working on AWS services (Lambda, Step functions, SQS, S3 SNS)
- Microservice design pattern is a must
- Experience in Docker, Kubernetes, containerization and CI/CD pipelines is preferable
- Experience in software development tools like Prettier, CodeCov, Snyk, etc..
- Excellent verbal and written communication skills; client facing and interpersonal skills; must be a listener, a presenter, and a people-person
- Experience in Designing scalable architecture systems for Node-based applications
- Ability to grasp complex implementations; Proven results of delivering client solutions
- Should have experience of working with offshore team
- Experience in working on large scale technology transformation projects for product companies is preferable
- Technology contributions to open source projects will be an added advantage
- Should have completed Certifications or training on AWS (AWS Solutions Architect), NodeJS, front-end frameworks.



