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 Regional Senior Sales Executive is a player/coach position and is responsible for driving sales through and with the AWS team responsible for all segments supported by AWS. This is a new role as we seek to further expand our North American footprint.
Responsibilities include:
- 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 sales & partner 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 customers 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 8 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