inside sales representative

1. Develop and implement a comprehensive sales strategy aligned with business objectives to drive growth and meet revenue targets.
2. Lead and manage a team of sales professionals, providing guidance, coaching, and support to maximise their performance and productivity.
3. Set sales targets, monitor progress, and provide regular performance evaluations to the sales team.
4. Identify and pursue new business opportunities, target markets, and potential clients.
5. Build and maintain strong relationships with key clients, understanding their needs and providing appropriate solutions.
6. Collaborate with cross-functional teams, including marketing, product development, and operations, to align sales strategies with overall business objectives.
7. Conduct thorough market research and competitive analysis to identify trends and refine sales approaches.
8. Prepare and deliver compelling sales presentations, proposals, and negotiations to close deals.
9. Analyze sales metrics and customer feedback to continuously improve processes and performance.
10. Stay updated on the latest trends and technologies in the IT industry to effectively promote and sell our offerings.
11. Proven record of exceeding USD50K sales per month.
12. Mandatory Skills10+ years of proven experience in leading sales for IT services, including client acquisition and revenue growth.
13. Strong understanding of the IT services lifecycle and client engagement models.
14. Proven track record of meeting or exceeding sales targets specifically within the IT services domain.
15. Strong leadership and team management skills, with the ability to motivate and inspire the sales team.
16. Familiarity with service delivery models, SLAs, and contract structures for IT services.
17. Ability to understand client pain points and craft custom service-based solutions.
18. Strong analytical, strategic thinking, and decision-making abilities.
19. Ability to analyse sales data and market trends to make informed decisions.
20. Proficiency in using CRM software and sales tools.
21. Willingness to travel as required.
22. Excellent communication, negotiation, and presentation skills.
23. Ability to bring in own creativity to break the traditional pattern of sales

Job Summary

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 behavior to improve conversions. An experience in creating UI/UX wireframes would be a plus

Responsibilities and Duties

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.

Establish web analytics framework to monitor the health of the key performance indicators and key conversion points in the web journey and marketing funnel. 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.

Required Experience, Skills and Qualifications

Prior experience of 1+ years of optimizing user experience/digital marketing campaigns/email campaigns/or anything that directly impacts revenue generated by the website.

Prior experience in a customer facing role or equivalent history of increasing customer satisfaction with excellent presentation skills

Conversant and able to use marketing platforms and tools that can measure and drive marketing programs and conversions; examples include Google Analytics, VWO, Adobe Target, Click-tale, Adobe Analytics, Tag management solutions, Tag audit solution, Optimizely, Google Optimize, and/ or similar tools.

Understanding best practices for UI and UX for websites

Understand of how E-commerce website work(what is ROI, AOV, Conversion Rate etc.)

Experience with research tools including HotJar, CrazyEgg, LuckyOrange/ heatMaps/ poll/ survey Zarget or other similar tools will be a plus

Experience with multichannel media campaigns including a working knowledge of paid search, testing ad text and landing pages Optimization, SEO will be a plus

Prior experience working in diverse client portfolio

Benefits

5 Day working

Flexible work from home policy

Company sponsored team outing and parties

Company sponsored lunch

No dress code

Salaries at par and above the industry standards

Great Learning and growth opportunities

Opportunities to travel onsite (Australia US,UK, South Africa) to meet and work with clients personally

Diverse and exciting client portfolio of internationally renowned brands

About the Role:

We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.

Key Responsibilities:

Cloud Management:

• Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
• Ensure high availability, scalability, and security of cloud resources.

Containerization & Orchestration:

• Develop and manage containerized applications using Docker.
• Deploy, scale, and manage Kubernetes clusters.

CI/CD Pipelines:

• Build and maintain robust CI/CD pipelines to automate the software delivery process.
• Implement monitoring and alerting to ensure pipeline efficiency.

Version Control & Collaboration:

• Manage code repositories and workflows using Git.
• Collaborate with development teams to optimize branching strategies and code reviews.

Automation & Scripting:

• Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
• Write scripts to optimize and maintain workflows.

Monitoring & Logging:

• Implement and maintain monitoring solutions to ensure system health and performance.
• Analyze logs and metrics to troubleshoot and resolve issues.

Required Skills & Qualifications:

• 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
• Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
• Hands-on experience building and managing CI/CD pipelines.
• Proficient in using Git for version control.
• Experience with scripting languages such as Bash, Python, or PowerShell.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and system administration.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with serverless architectures and microservices.

Services: Data Scientist

Exp 8+yrs

Location: Pune (preference)

As a Data Scientist who can help us with our innovation lab initiative, you will be responsible for extracting insights from large datasets and turning them into actionable strategies to drive business decisions. You will collaborate with cross-functional teams to identify opportunities for leveraging data to solve business problems and improve processes.

Advanced Degree: PhD or equivalent in Computer Science, Data Science, Statistics, Mathematics, or a related field, demonstrating a strong foundation in theoretical and practical aspects of AI and machine learning.

Deep Technical Expertise: Proven track record of applying advanced statistical models, machine learning algorithms, and computational methodologies to solve complex problems in various domains.

Hands-on Experience with AI Technologies: Extensive experience in designing, implementing, and deploying AI solutions, including but not limited to natural language processing, computer vision, and predictive analytics projects.

Strong Programming Skills: Proficiency in programming languages such as Python, R, or Scala, and familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).

Data Manipulation and Analysis: Expertise in handling and analyzing large datasets using SQL, NoSQL, and data processing frameworks (e.g., Spark).

Excellent Communication Skills: Ability to clearly articulate complex technical concepts, findings, and the business value of AI solutions to both technical and non-technical stakeholders.

Understanding of AI Ethics and Bias: Knowledge of ethical AI practices, including bias detection and mitigation strategies, to ensure the development of fair and responsible AI systems.

Problem-Solving Ability: Demonstrated ability to apply analytical and creative thinking to complex challenges, with a track record of innovative solutions in AI.

Collaboration and Leadership: Experience working in cross-functional teams, with the ability to lead projects and mentor junior team members in AI methodologies and best practices.

Industry-Specific AI Application Knowledge: Demonstrated experience in applying AI solutions to real-world problems in industries such as healthcare, finance, retail, or manufacturing, showing a deep understanding of sector-specific challenges and opportunities.

LLM Development and Customization: Hands-on experience in developing, fine-tuning, and deploying Large Language Models for applications such as conversational agents, content generation, and semantic analysis.

Advanced Natural Language Understanding (NLU) and Generation (NLG): Expertise in leveraging LLMs for complex NLU and NLG tasks, demonstrating a deep understanding of language model capabilities and limitations.

About Intraedge: https://intraedge.com/ 

Intraedge is a Technology, Products and Learning Organization, It was founded in 2002 with offices in the US, India, Europe, Canada, and Singapore. We provide our clients with the resources and expertise to enhance business performance through technology. 

Desired Candidate Profile

• Degree in Ayurveda
• Interest for and experience in creative copywriting
• Good organizational, self and time-management skills
• Ability to multi-task and follow deadlines
• Willingness to learn skills outside of comfort zone
• Willingness to grow in a fast-paced environment
• Not afraid of challenges and hard work
• Reliable team player with a sense of ownership
• Attention to detail
• Ability to take initiative