
Position: Lead Generation Intern
Type: Performance-Based Internship
About the Role
We are looking for a Lead Generation Specialist Intern who is interested in learning how businesses identify and approach potential clients. In this role, you will help the team find potential leads, organize prospect information, and support outreach efforts. This internship is ideal for someone who wants hands-on experience in business development and sales research.
Responsibilities
- Identify potential clients through online research and professional platforms such as LinkedIn
- Collect relevant information such as company details, contact information, and decision-makers
- Add and update lead information in the company CRM system
- Maintain accurate records of prospects and interactions in the CRM
- Assist the business development team with outreach and follow-up activities
- Track and report the progress of leads generated
Requirements
- Good communication and organizational skills
- Comfortable with online research and finding business contacts
- Basic understanding of spreadsheets and digital tools
- Interest in business development, marketing, or sales
Relevant Skills
Lead Generation, Market Research, LinkedIn Outreach, CRM Management, Data Entry, Communication Skills, and Time Management.
This is a performance-based internship offering an opportunity to gain practical experience in lead generation and business development.

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Key Responsibilities:
- Build and maintain strong relationships with Authorized Partners (APs)
- Drive business growth and enhance partner revenue
- Activate partners and provide regular training & mentoring
- Promote broking products: Smallcase, Stock SIP, MTF, Investments & Trading
- Ensure adherence to regulatory and compliance standards
- Achieve business targets and key performance indicators
- Deliver superior service experience to partners
Requirements:
- Graduation mandatory
- Minimum 2 years experience in stock broking/financial markets
- Strong understanding of equity markets and trading products
- Excellent communication and relationship management skills
- Comfortable working in a target-driven environment
Strong B2C Performance Marketing Profile
Mandatory (Experience 1): Must have 2+ YOE in managing performance marketing in atleast 1 of Google ads campaigns (Search, Display, Universal App Campaigns UAC)
Mandatory (Experience 2): Must have hands-on experience with campaign setup, execution, daily optimization, reporting, and performance tracking across key KPIs (CTR, CPC, CPA, ROI)
Mandatory (Experience 3): Must have strong technical skills including familiarity with Google Tag Manager, Google Analytics
Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)
Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.
Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).
Mandatory (Stability): Minimum 2 years per role required. One short stint is acceptable if there’s a long tenure (eg: 5+ years) in a prior role. Frequent job changes are straight rejects.
Note: Total years of experience must not exceed 6 years.
As a CRO specialist you will use a mix of creativity and strong analytical skills to understand website behavior, identify opportunities to drive an increase in conversion, revenue and user experience, then develop and execute a strategy to turn those ideas into an optimization and testing plan. This is a customer-facing role requiring outstanding relationship management skills.
The ideal candidate would be extremely data-driven and makes design tweaks based on user behaviour to improve conversions. An experience in creating UI/UX wireframes would be a plus.
Responsibilities:
- Use qualitative (heatmaps, sessions recordings, surveys, etc) and quantitative(Google Analytics or similar) sources of data to analyze website traffic to understand user behavior and provide data-driven recommendations to increase engagement and conversion rate.
- Understand and implement ways to monitor conversion funnel congestions, design and usability factors of highly converting web pages.
- To understand the WHY behind the data and deliver actionable insights to further improve UX and conversion rate optimization to increase lead generation and online sales.
- Define and maintain overall optimization program (site and e commerce experience, landing pages, forms and calls-to-actions) Use an iterative approach to optimization (hypothesize, design, test, measure, optimize), deriving actionable insights from the results, formulating new experiment ideas and hypotheses, while implementing winning results.
- Develop or support the team in developing hypotheses, testing roadmaps and reports for optimization projects (A/B, Multivariate, Targeting, Personalization).
- Coordinate with developers, analysts, and researchers to drive projects forward.
If you have digital marketing experience on Landing page optimization I will be happy to have a discussion.
WHAT WE OFFER OUR EMPLOYEES
• 5 Day working
• Fun-Fridays
• Company-sponsored team outing and parties
• Flexible work from home policy
• Company-sponsored lunch
• No Leaves Policy: we trust people in getting work done
• A Diverse and exciting client portfolio of internationally renowned brands
Responsibilities will include, but are not limited to:
- Contribute to new Memory based product opportunities by assisting with the overall design, layout, and optimization of Memory/Logic circuits
- Responsible to translate system-level specs onto the circuit block-level performance spec, circuit architecture, design and development
- Perform verification processes with modeling and simulation using industry-standard simulators
- Document and review final results
- Chip in to cross-group communication to work towards standardization and group success
- Actively solicit guidance from Standards, CAD, modeling, and verification groups to ensure the design quality
Successful candidates for this position will have:
- A Bachelor's or Master's degree (Preferred) in Electrical Engineering, Computer Engineering, or related discipline
- Proven knowledge of CMOS Circuit Design
- Experience in RTL design, design synthesis, static timing analysis, and automated layout techniques
- Hands-on experience with Verilog modeling and simulation tools
- Knowledge of state machine logic/design verification techniques
- Excellent problem-solving and analytical skills
- Experience with a scripting language (Python, Tcl, Perl, etc)
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Data Engineer
- High Skilled and proficient on Azure Data Engineering Tech stacks (ADF, Databricks) - Should be well experienced in design and development of Big data integration platform (Kafka, Hadoop). - Highly skilled and experienced in building medium to complex data integration pipelines for Data at Rest and streaming data using Spark. - Strong knowledge in R/Python. - Advanced proficiency in solution design and implementation through Azure Data Lake, SQL and NoSQL Databases. - Strong in Data Warehousing concepts - Expertise in SQL, SQL tuning, Data Management (Data Security), schema design, Python and ETL processes - Highly Motivated, Self-Starter and quick learner - Must have Good knowledge on Data modelling and understating of Data analytics - Exposure to Statistical procedures, Experiments and Machine Learning techniques is an added advantage. - Experience in leading small team of 6/7 Data Engineers. - Excellent written and verbal communication skills
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Experience: Must have 4 to 8 relavent experience in product owner
Location: Gurgaon
Key Skills
CSPO is a plus.
Product defined as all PropCo related products, services including support, training and
development etc.
Should be able to write effective user stories.
Product Owner shall blend technical, strategic and tactical knowledge; is the product’s Key
Stakeholder with product “need(s)” who shall guide and champion its development
Create, develop, evaluate, define and promote product vision giving consideration to client
requirements, market development including competition, market trends, innovation, backlog
and other vision holders
Prioritise feature development based on ROI and appropriately determined weighting criteria
including development complexity
Define and update product Roadmap
Propose and agree release date(s) and monitor progress for release date achievement
Determine / Refine delivery plan including documented acceptance criteria sign off(s) at each
stage including business level Acceptance Tests
Provide frequent (scheduled) feed back to Stakeholders and others where appropriate
Manage Stakeholder and Client (internal and external) expectations through clear, concise and
appropriate communication
Accept / Reject outcomes and instigate / conduct retrospective reviews as appropriate for
continuous improvement
Actively engage with Project Manager(s) and be available to others including Development and
QA etc, and motivate using clear goals and objectives.
Roles and responsibilities:
• From understanding the causes that the nonprofit work for to collaborating with the
corporate team to provide suitable fundraising solution - you will be involved in the
entire process of driving fundraising for the nonprofits.
• Will work closely with non-profits and documents related to onboarding, will carry
out initial level of due diligence
• Support in preparing campaigns and project proposals
• Establish and manage relationship with our partners
• Planning and prioritizing activities and complete the threads
• Ensuring completion of tasks under the stipulated time frame
• Providing up to date information to the stakeholders as and when required
Skills and Background:
• Graduate from a reputed university – Post graduation will be an advantage
• Should have 3 - 5 years of experience in coordinating and managing end to end
stakeholder relationship
• Thorough understanding of nonprofits and fundraising cycle
Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
good Experience in Working with Codeigniter/laraval, Jquery, Ajax, Angular Js, Bootstrap with Good Designing Skills, Mysql, Mongodb ( Optional ), Wordpress ( Optional )
responsibilities
write Clean, Well-designed Code
troubleshoot and Test Core Product Software to Ensure Strong Optimization
contribute to all Phases of the Development Lifecycle
qualifications.
bachelor\'s Degree in Computer Science or Related Field
experience in Software Development
passion for Best Design and Coding Practices
strong Knowledge of Relational Databases, Tools, and Php Skills.








