Head of PartnershipsNewUnited States

Head Of Partnerships

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.

Functional Responsibilities :

• Define and execute a strategic roadmap across key platform partners
• Build strong relationships with partner BD teams, SEs, AEs, and GTM leaders
• Secure inclusion in co-sell and referral programs (e.g., Databricks Brickbuilder, Snowflake Powered by)
• Drive partner-led pipeline through partners by enabling co-selling motions
• Drive joint account planning, outbound campaigns, and partner-influenced opportunities
• Map Factored services to partner consumption and credit burn goals
• Train and activate partner field teams
• Create scalable playbooks and enablement programs
• Embed into partner QBRs, SKOs, and team calls
• Launch joint campaigns, webinars, and thought leadership initiatives
• Co-develop industry-specific GTM plays
• Align closely with Sales, Marketing, and Delivery to operationalize the partner motion
• Build reporting for partner-attributed pipeline, closed revenue, and impact
• Lead partner forecast and pipeline reviews

Qualifications :

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.