Enterprise Account Executive

Posted 13 Days Ago
Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Machine Learning • Analytics
The Role
The Enterprise Account Executive is responsible for driving customer acquisition and managing the full sales cycle for Fortune 500 and high-growth enterprise clients. This includes building relationships, developing account strategies, managing pipelines, negotiating contracts, and collaborating across teams to optimize customer outcomes.
Summary Generated by Built In

Who we are:

Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. ​We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.


We are seeking a results-driven Enterprise Account Executive to lead engagements with Fortune 500 and high-growth enterprise customers. You will own enterprise accounts, develop trusted advisor relationships with C-level stakeholders, and close multi-million-dollar partnerships that drive significant ARR growth.


This role requires a deep understanding of enterprise sales cycles, exceptional relationship-building skills, and a passion for solving customer challenges through access to elite technical talent. You will play a pivotal role in expanding Factored AI’s footprint across industries and enabling organizations to achieve their AI and data goals.

What you will do:

  • Customer Acquisition: Identify and engage decision-makers at enterprise companies, driving the full sales cycle from lead generation to contract closure while developing long-term account strategies.
  • Consultative Selling: Build trusted advisor relationships with key stakeholders, understanding their data and AI talent needs, and positioning Factored AI as the ideal partner.
  • Pipeline Management: Develop and maintain a robust pipeline, leveraging CRM tools to track opportunities, accurately forecast revenue, and ensure disciplined deal progression.
  • Negotiation & Closing: Lead contract negotiations with a focus on creating win-win outcomes, securing long-term partnerships, and fostering ongoing client trust.
  • Market Expertise: Stay informed about industry trends, competitive landscapes, and enterprise challenges in AI, ML, and data engineering.
  • Cross-functional Collaboration: Partner with marketing, customer success, and internal talent teams to optimize customer outcomes and drive continuous improvement.

What you will bring:

  • Experience: 7+ years of experience in enterprise sales, preferably in a B2B SaaS, data and AI, or IT Services / technical staffing. 
  • Sales Acumen: Proven track record of meeting or exceeding revenue targets and navigating complex enterprise sales cycles. Strong negotiation skills with a track record of value-based selling.
  • Industry Knowledge: Familiarity with data science, machine learning, or engineering concepts is a strong plus. Ability to translate technical capabilities into business value for enterprise clients.
  • Relationship Building: Exceptional interpersonal skills, with experience influencing and partnering with senior-level executives.
  • Technical Tools: Proficiency with CRM tools (e.g., HubSpot, Salesforce) and sales enablement platforms
  • Self-starter: Entrepreneurial mindset with the ability to work independently, prioritize tasks, and drive results.

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.


We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth is available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business, but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business, and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts. 


 In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.

Top Skills

AI
Machine Learning
The Company
Palo Alto, CA
166 Employees
On-site Workplace
Year Founded: 2019

What We Do

Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.

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