Customer Support Executive

We are looking for a dynamic and experienced Project Manager who has strong exposure in SaaS/IT project handling. The ideal candidate should have hands-on experience managing international clients (APAC, UK & Middle East regions) and should be well-versed in Agile methodology and tools like JIRA.

Key Responsibilities

• Manage end-to-end delivery of SaaS/IT projects (planning → execution → delivery).
• Handle and communicate effectively with international clients (APAC, UK, Middle East).
• Ensure timely delivery with high quality and client satisfaction.
• Work closely with cross-functional teams (Dev, QA, Product, etc.).
• Drive Agile ceremonies (Sprint Planning, Daily Stand-ups, Retrospectives).
• Track project progress using JIRA and ensure proper documentation.
• Identify risks (risk = potential issues) and proactively mitigate them.
• Maintain stakeholder communication and provide regular status updates.
• Ensure alignment with business goals and project objectives.

Required Skills & Qualifications

• 5+ years of experience in Project Management
• Strong experience in handling international clients (APAC, UK & Middle East).
• Preferred Btech OR MBA Graduate.
• Excellent communication skills .
• Strong problem-solving and leadership abilities.
• Ability to manage multiple projects simultaneously.

Work Requirement

• Work From Office (WFO) – Faridabad location.
• Must be flexible to travel international

Hiring Relationship Managers!

Department: Field Sales / Agency Sales

Industry: Insurance

Location- Mumbai Maharashtra

📍 Andheri PCP and Thane

📌 Process: B2B Sales, POSP Sales

📌 Salary: Up to ₹30,000 (Net)

📌 Shift: 9:30 AM – 6:30 PM (Mon–Sat, Sunday Off)

📌 Eligibility: HSC / Graduate and 1 year Insurance sales experience

Roles and Responsibilities:

Recruiting and Managing team of financial advisors/agents.

Managing the complete life cycle of financial advisors/agents (e.g., meeting and interacting with them on a regular basis).

Training the financial advisors/agents on the app to serve their customers in the most efficient and effective manner.

Driving financial advisors/agents for higher productivity and focusing on renewals.

Achievement of Monthly/Quarterly/Yearly targets.

Experience: 1 to 4 years (Advertising Agency)

Job Type: Full time, on site

Working days: 5 + Saturdays

Working hours: 10:00 am to 6:30 pm

Location: C.G. Road, Ahmedabad

Compensation: Up to 6 LPA

Responsibilities:

• Create engaging 2D animations and motion graphics for various digital platforms.
• Design and edit videos to align with brand strategies and campaign goals.
• Collaborate with design and marketing teams to produce high-quality content.
• Maintain consistency with brand guidelines across all visual content.
• Stay updated on animation trends and incorporate them into your work.

Qualifications:

• Proficiency in Adobe After Effects, Adobe Premiere Pro, and other motion graphics software.
• Strong portfolio showcasing 2D animations and video editing work.
• Good communication skills and attention to detail.

Job Title: Structured Finance Analyst – Energy Transition at AI Platform

Responsibilities:

• Conduct thorough pre-closing due diligence on structured finance deals, including project finance, securitization, and asset-backed lending in energy transition sectors (solar, wind, battery storage, EV infrastructure).
• Analyze credit structures, collateral quality, and cash flow modeling to independently validate underwriting assumptions and identify key risks.
• Prepare detailed investment analysis reports benchmarking AI-driven diligence results against manual underwriting.
• Collaborate closely with AI engineering teams to refine the underwriting platform through continuous feedback on accuracy, coverage gaps, and improvement opportunities.
• Stay abreast of market developments, regulatory changes, and emerging trends in structured finance and renewable energy project finance.
• Participate actively in transaction discussions, providing insightful analysis and contributing to decision-making processes.

Qualifications:

• Minimum 2 years of structured finance experience from an investment bank, rating agency, private credit fund, or fintech lender specializing in structured products.
• Demonstrable experience in analyzing structured finance products, including ABS, project finance, or infrastructure debt.
• Strong proficiency in Excel modeling, cash flow analysis, and scenario testing.
• Understanding of credit risk assessment, collateral valuation methodologes, and deal structuring principles.
• Bachelor’s degree in finance, economics, engineering, or a closely related field; CFA Level I or higher preferred.
• Excellent communication skills, both written and verbal, with the ability to clearly articulate complex financial concepts.

Ideal Candidate Profile:

• A structured finance analyst currently working at a bank, rating agency, or fintech lender seeking a dynamic, innovative environment that leverages cutting-edge technology.
• Demonstrated success in independently conducting deal diligence comparable to an experienced third-year analyst at a top-tier firm.
• Highly analytical, detail-oriented, with intellectual curiosity and passion for energy transition financing.
• Entrepreneurial mindset with adaptability to thrive in a fast-paced, high-growth startup environment.
• Interested in leveraging their structured finance skills to directly impact the growth and accuracy of an AI-driven investment diligence platform.

We are looking for a Mid-Level Digital Marketer with a proven track record of developing and executing successful digital marketing campaigns. In this role, you will be responsible for driving traffic, increasing engagement, and generating leads across multiple digital channels. You will work closely with the content, design, and sales teams to ensure cohesive marketing strategies.

Responsibilities:

• Develop, implement, and manage digital marketing campaigns, including SEO, SEM, social media, and email marketing.
• Create and optimize content for websites, blogs, and social media platforms.
• Manage and analyze the performance of PPC campaigns using Google Ads and other platforms.
• Conduct market research to identify trends and opportunities.
• Collaborate with the design team to create engaging visual content.
• Monitor and report on the performance of all digital marketing campaigns.
• Stay up-to-date with industry trends and emerging digital marketing tools.

Responsibilities

• Develop and implement HR strategies and initiatives aligned with the overall business strategy
• Bridge management and employee relations by addressing demands, grievances or other issues
• Manage the recruitment and selection process
• Support current and future business needs through the development, engagement, motivation, and preservation of human capital
• Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization
• Nurture a positive working environment
• Oversee and manage a performance appraisal system that drives high performance
• Maintain pay plan and benefits program
• Assess training needs to apply and monitor training programs
• Report to management and provide decision support through HR metrics
• Ensure legal compliance throughout human resource management

• Producing periodic reports for management and further analysing the data
• Assisting in the formulation of strategies to increase campaign efficiency
• Launching optimized online adverts through Google AdWords, Facebook to generate leads
• Optimizing ads to increase conversions and reduce CPL
• Suggesting and recommending changes in creatives and banners to improve results
• Providing ideas and collaborating with designers to improve ad experience
• Coordinating with various team members to achieve set targets
• Creating plans and objectives for campaigns

Desired Candidate Profile

• Understanding of digital marketing concepts and practices
• Knowledge of web analytics tool like Google Analytics
• Good content writing and communication skills
• Knowledge about ad platforms like Facebook & Google Ads
• Knowledge of MS office and Excel (Vlookup/ Pivot/ Text-to-Column/ Deduplication/ Filter/ Sorting)
• Planning, problem solving and decision-making skills
• Time management and project management skills
• Basic understanding of SEO and landing page
• Knowledge of Digital Marketing, Google Adwords, Google Analytics, Optimization and SEO management    
• Location: Jhandewalan    

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

Strong expertise in AWS architecture, deployment and coding using Python and AWS Lambda functions. She/ he should also have experience with NOSQL database like MongoDB/ DynamoDB and exposure to Machine Learning. She/ he should be familiar with Ajax calls, interaction with API using JSON files and xml.

Knowledge of testing tools like JMeter and Selenium and programming languages like Javascript and Dot Net will be a big advantage.
The person should be able to guide junior resources, perform code reviews and solve performance issues as required.