
Head – Sales / Business Development
at A venture-funded talent training and development org.
Head – Sales / Business Development
Objectives of this role
• Represent the company effectively with comprehensive knowledge of our offerings
• Research consumer needs and identify how our solutions address them
• Hire, train, motivate, and advise a team of sales representatives
• Achieve company objectives by planning thoroughly, setting sales goals, analyzing performance data, and making forecasts
• Develop skills continuously for hiring, training, and leading team members, and ensure that they're using effective sales tactics to meet revenue objectives
• Generate leads, and establish and nurture client relationships
Responsibilities
• Create and execute a strategic sales plan that expands our customer base and extends the company's global reach
• Meet with potential clients and grow long-lasting relationships that address their needs
• Recruit sales representatives, set objectives, train and coach them, and monitor their performance
• Identify knowledge gaps within the team and develop plans for filling them
• Ensure that company quotas are met by holding daily check-ins with sales team to set objectives and monitor progress
• Manage the month-end and year-end close processes
Required skills and qualifications
• 8-10 years of experience in managing sales in a corporate setting
• MBA (Sales)
• Proven record of success with the entire sales process, from planning to closing and overachieving sales targets
• Excellent communication, interpersonal, and organizational skills
• Superb leadership ability
• Ability to travel at least 20% of the time
Preferred skills and qualifications
• Motivational speaking experience
• Proven success rate at levels above sales quota

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We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.
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· Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.
· DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.
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· Experience with data visualization tools (e.g., Tableau, Power BI).
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Education
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Apply only on this link - https://loginext.hire.trakstar.com/jobs/fk0qu53?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk0qu53?source=
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Good to Have:
• Testing frameworks and tools like Jest, Codecept, Tosca, Jenkins • SQL, PL/SQL, and NoSQL database management. • Knowledge of various web tools and software like Miro, Figma, Visual Studio, VS Code, PyCharm, Jira, Confluence, and DevOps portals • Could have knowledge of payment gateways and their implementations on e-commerce management tools like Hybris • Having knowledge of product life cycle management


- We are looking for a Data Engineer to build the next-generation mobile applications for our world-class fintech product.
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- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
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Work closely with product & engineering groups to identify and document
infrastructure requirements.
Design infrastructure solutions balancing requirements, operational
constraints and architecture guidelines.
Implement infrastructure including network connectivity, virtual machines
and monitoring.
Implement and follow security guidelines, both policy and technical to
protect our customers.
Resolve incidents as escalated from monitoring solutions and lower tiers.
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Partner with the engineering team to build software tolerance for
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Qualifications
Master’s/Bachelors degree in Computer Science, Computer Engineering,
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Minimum 3 years of experience working in public clouds like AWS & Azure.
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Strong in performing production operation activities.
Experience with Container & Container Orchestrator tools like Kubernetes, Docker
Swarm is plus.
Good at source code management tools like Bitbucket, GIT.
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Hands on work to secure networks and systems.
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Excellent written and verbal communication skills
Interview focus areas
Networks, systems, monitoring
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Culture fit, agility, bias for action, ownership, communication

