The Role
The Enterprise Account Executive will drive customer acquisition, build relationships with stakeholders, manage sales pipelines, negotiate contracts, and provide market insights to achieve revenue growth.
Summary Generated by Built In
Fully remote | Complete engagement job
Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.
At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.
We are seeking a results-driven Enterprise Account Executive to lead engagements with Fortune 500 and high-growth enterprise customers. You will focus on net- new client acquisitions, developing trusted advisor relationships with C-level stakeholders, and closing multi-million-dollar deals 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.
Functional Responsibilities:
- 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.
- Build trusted advisor relationships with key stakeholders, understanding their data and AI talent needs, and positioning Factored AI as the ideal partner.
- Develop and maintain a robust pipeline, leveraging CRM tools to track opportunities, accurately forecast revenue, and ensure disciplined deal progression.
- Lead contract negotiations with a focus on creating win-win outcomes, securing long-term partnerships, and fostering ongoing client trust.
- Stay informed about industry trends, competitive landscapes, and enterprise challenges in AI, ML, and data engineering.
- Partner with marketing, customer success, and internal talent teams to optimize customer outcomes and drive continuous improvement.
Qualifications:
- +7 years of experience focused on net-new logo acquisitions.
- 7+ years of experience in enterprise sales, preferably in a professional services, data and AI company.
- 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.
- Experience closing large accounts with potential revenue of $5-$25 million.
- Familiarity with data science, machine learning, or engineering concepts is a strong plus. Ability to translate technical capabilities into business value for enterprise clients.
- Exceptional interpersonal skills, with experience influencing and partnering with senior-level executives.
- Proficiency with CRM tools (e.g., HubSpot, Salesforce) and sales enablement platforms
- Entrepreneurial mindset with the ability to work independently, prioritize tasks, and drive results.
Our Benefits:
- Ownership through equity participation.
- Annual company retreat.
- Education bonus for continuous learning.
- Company-wide winter break.
- Paid time off.
- Optional in-person events and meetups.
- Tailored career roadmaps.
- High-performance culture.
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 are 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
Crm Tools
Hubspot
Salesforce
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The Company
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.
