Sr Sales Executive

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Position Overview:

The Senior Sales executive is a player/coach position and is responsible for driving sales through and with the AWS team responsible  within a given territory. This is a new role as we seek to further expand our North American footprint. 

Responsibilities:

• Drive business development, forecast accurately and achieve strategic goals by leading customers through the entire business cycle.

• Build and deepen executive relationships within the AWS regional and practice ecosystem to drive new business opportunities. 

• Influence long-term strategic direction with customers and serve as a business partner to them 

• Manage entire complex sales-cycles, often presenting to C-level executives in corporate and global customers.

• Lead account strategy in generating and developing business growth opportunities, working collaboratively with Internal GTM teams and our AWS alliance Partners - all to maximize business results in territory and open up opportunities with customers.

• Actively understand each customer’s technology footprint, strategic growth plans and business drivers, technology strategy and landscape.

• Create proposals and Statements of Work in collaboration with the Delivery team

• Drive deal profitability 

• Measure customer satisfaction and be the ‘voice of the customer’

Qualifications:

• Professional Services sales leadership experience management experience within a non-product consulting company

• A minimum of 7 years Professional Services sales experience (not as part of a software company)

• Experience selling through/with AWS sellers and the partner organization

• Experience working with AWS customers and have existing relationships with key AWS Sellers in the segment

• Experience in solution sales of ‘in the Cloud services and solutions’

• Experience handling Data Analytics And AI/ML projects solving various use cases across industries

• Ability to work with GTM Pre sales Team to lead Sales effort across AWS sales segments from Enterprise to SMB

• Strong track record in working with and orchestrating partners in complex implementation projects.

• Ability to influence decisions at the executive level.

• AWS Cloud technical expertise and customer service delivery experience

• Experience with services commercialization, productization, and positioning services

• with customer

• Experience successfully working with senior (C-level) executives

• Demonstrated ability to lead managers and successfully manage global, distributed

• teams across cultures, lines of business, and geographies

• Possesses a strong management presence and leadership ability, with communication

• and interpersonal skills that inspire and motivate leaders and teams •

• Demonstrated excellence in analytical thinking, problem solving, communication,

• delegation, planning & organization and judgment

• Possesses outstanding written and oral communication

• Able to be flexible and agile in responding to evolving business priorities and dealing

• with ambiguity

• Able to collaborate across organization and with external stakeholders

• Holds strong operational skills that will drive organizational efficiencies and customer

• satisfaction

• Willing and able to address escalated client issues with speed and urgency

• Able to travel regionally - expected 50%

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world

• Be a leader of an energetic team of highly dynamic and talented individuals

• Exposure to working with fortune 500 companies and innovative market disruptors

• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud