Product Manager

Key Responsibilities

Lead Generation & Outreach

·      Contact and develop relationships with potential customers through email marketing, cold calling, and LinkedIn outreach.

·      Execute email campaigns targeting prospects to generate leads and create business opportunities.

·      Mine data and extract information of C-level executives from various online sources and tools.

Sales Process Management

·      Follow up on leads and respond to sales inquiries from existing and potential customers as per guidelines.

·      Assist senior staff in generating and following up on leads.

·      Convince clients, schedule appointments, and manage the sales pipeline.

·      Track sales efforts and monitor results to ensure alignment with targets.

Customer Relationship Management

·      Liaise between customers and the company to provide up-to-date status on service, pricing, and new product releases.

·      Collect customer feedback and conduct market research to inform business strategy and product development.

·      Maintain CRM systems to manage lead generation, track interactions, and store customer information.

Market & Competitor Analysis

·      Stay informed about the latest products, market trends, and competitors to provide insights for business strategy.

·      Increase business opportunities through various routes to market.

Required Skills & Qualifications

·      Strong communication and interpersonal skills.

·      Proficient in email marketing, cold calling, and LinkedIn outreach.

·      Experience in data mining and CRM systems.

·      Ability to prepare detailed reports and commercial proposals.

·      Strong analytical and organizational skills.

·      Ability to work independently and as part of a team.

·      Understanding of market research and customer feedback processes.

Performance Metrics

·      Number of new leads generated.

·      Conversion rate of leads to appointments and sales.

·      Quality and timeliness of proposals and reports.

·      Customer satisfaction and feedback.

·      Sales targets and revenue growth.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Job description

Roles and Responsibilities

• Must have experience in generating leads for IT services like Mobile App, Software Development, Web Application ( For International Market )
• Lead generation of new leads for regular sales cycles for IT Industry.
• Good Knowledge of lead generation and market research through Linkedin and Email.
• Who can build the tie-ups with the IT companies from USA,UK and Europe.
• Develop and maintain relationships with key stakeholders to ensure that all lead sources are properly identified, tracked and optimized in order to maximize revenue.
• Oversee client relationship management through direct contact and other channels as needed.
• Provide support on marketing initiatives.
• Work closely with sales managers/representatives to develop strategies to drive conversion rates across multiple channels
• Working experience with staffing augmentation

Desired Candidate Profile

• Bachelor's degree in business, marketing or related field
• Minimum of 4 years of experience as a lead generation specialist with an emphasis on lead generation and/or sales automation
• Experience working within the marketing industry is preferred
• Must have strong communication skills
• Strong analytical abilities

Office Timing : 12 PM to 9 PM

• Bachelor/Master's in computer science or relevant fields
• 10+ years of Relevant Experience
• Strong sense of ownership
• Excellent Java and object-oriented development skills
• Experience in building and scaling microservices
• Strong Knowledge in RDBMS & NoSQL databases
• Strong problem-solving skills, technical troubleshooting and diagnosing
• Expected to be a role model for young engineers, have a strong sense of code quality, and enforce code quality within the team
• Excellent understanding of Debugging performance and optimization techniques
• Experience in Java, Mongo, MySQL, AWS technologies, ELK stack, Spring boot, Kafka
• Experience in developing any large scale Experience in cloud technologies
• Demonstrated ability to deliver in a fast-paced environment

Should be able to take responsibility and work independently.

- Professional experience with C#, .NET & OOPS

- Skill for writing reusable C# libraries