Enterprise Account Executive, CloudFactory
+ Incentive-based compensation
Workforce solutions for AI
Job no longer available
Workforce solutions for AI
1001+ employees
Job no longer available
+ Incentive-based compensation
1001+ employees
Company mission
To integrate technology and human expertise, and uniquely enable companies to transform using AI.
Role
Who you are
- Proven Sales Track Record: 5+ years of experience successfully selling complex enterprise software solutions, with a history of closing large, high-value deals within the technology consulting space
- AI Expertise: Strong understanding of AI concepts, including machine learning, natural language processing, computer vision, and their applications across various industries
- Executive-Level Communication: Exceptional verbal and written communication skills, with the ability to present complex technical concepts to senior executives
- Strategic Thinking: Ability to identify business challenges, develop tailored AI solutions, and articulate their strategic value
- Relationship Building: Proven track record of building long-term, trusting relationships with clients and internal teams
- Industry Expertise: Prior experience in relevant industries (e.g., healthcare, finance, retail) is a significant advantage
What the job involves
- As an Enterprise Account Executive, you will be responsible for identifying, developing, and closing business opportunities with enterprise clients ranging from Fortune 500 to $1B-$10B mid-market companies
- By strategically positioning our AI solutions to address their unique challenges, you will build strong relationships with C-level executives and guide them through their AI transformation journey
- This role demands a consultative sales approach and an ability to communicate the strategic and financial value of our AI solutions
- Proactively identify potential enterprise clients within your assigned territory
- Use market research, networking, and industry insights to qualify leads and build a robust pipeline of high-value opportunities
- Deeply understand client pain points, business objectives, and existing technology landscape to tailor AI solutions to their needs
- Demonstrate a strong grasp of AI capabilities and their potential business impact, presenting AI as a strategic advantage
- Develop persuasive proposals and presentations, clearly articulating our AI services’ value proposition
- Include use case development, ROI analysis, and implementation roadmaps to demonstrate the potential impact on the client’s operations
- Build relationships with C-suite executives, such as CIOs, CEOs, and CTOs, effectively communicating the strategic benefits of AI adoption
- Navigate complex decision-making processes and foster trust with executive stakeholders
- Lead the entire sales cycle from initial contact through negotiation and contract signing
- Manage multiple stakeholders, address technical concerns, and overcome objections to secure large-scale deals
- Work closely with AI solution architects, data scientists, and implementation teams to ensure seamless project delivery
- Provide expert support throughout the customer lifecycle to ensure a smooth transition from sales to delivery
- Build and maintain long-term client relationships, identifying expansion opportunities within existing accounts
- Drive recurring revenue and foster customer loyalty by continuously adding value
- Stay up-to-date on emerging AI trends, industry best practices, and the competitive landscape
- Position our AI solutions effectively by demonstrating thought leadership within the industry
Our take
AI and machine learning continue to advance, yet many AI disruptors lack the ability to process and label the voluminous amount of data required to feed complex AI and machine learning algorithms. CloudFactory’s WorkStreams combine people and technology to deliver high-quality data to meet the needs of businesses of all sizes.
CloudFactory sets itself apart by creating economic and leadership opportunities for talented people in developing nations. Delivery centres in Nepal and Kenya have become anchors within their communities, which drive economic and social impact. CloudFactory processes millions of tasks a day for companies including Microsoft, GoSpotCheck, Hummingbird Technologies, Ibotta, and Luminar.
The company is poised for tremendous growth across many industry verticals where AI technology continues to grow rapidly. Moving forward, Cloudfactory is focusing on scaling operations whilst continuing to deliver high-quality data work for its global customers. To do so, it is planning to invest in workforce development, global market awareness and technology advancement. Regarding the latter, CloudFactory launched Accelerated Annotation in 2023, an AI-powered annotation tool that maximises efficiency, exemplifying its continued forward movement in product development.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Nov 2019
$65m
EARLY VC
May 2017
$7.3m
SERIES B
Total funding: $78m
Leadership
Mark Sears
(Founder & Executive Chairman)Mark is also the Founder of Sprout AI Studio where they serve as the CEO and co-founder of CC.
Kevin Johnston
(CEO)Prior to joining CloudFactory in 2023, Kevin spent 3 years at AgileThought as CRO and COO. Before that, they spent 3 years at DXC Technology as a Chief Sales & Revenue Officer.
Karen Cambray
(CFO)Prior to joining CloudFactory in 2024, Karen was the CFO at Invaluable and Cartera Commerce. They also spent over 5 years at Tamr as the CFO & COO.
David Hadsell
(CRO)David is also the Founder of May River Advisory and is a Member of the Board of Advisors at Catalyst Solutions. Previously, they were an Executive VP at Gainwell Technologies as well as a VP of Global Healthcare at DXC Technology.
James Haring
(COO)Prior to joining CloudFactory in 2024, James was a Chief Information Officer of Innovation & Transformation at MV Transportation. They also spent 11 years at Hewlett Packard Enterprise in various VP roles.
Ajai Sharma
(Chief Product & Technology Officer)Ajai previously co-founded Holomorphic AI Labs where they served as the CEO for nearly 3 years. Before that, they were the Head of Product (Deep Learning SageMaker) at Amazon Web Services and an Expert in AI/Deep Learning Product at McKinsey & Company.
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