Sales Director, Enterprise

6 дн. назад

South KoreaWorldwideDirector

crmforecastingpipeline managementsales strategy

Lead enterprise sales team in Korea to drive AI adoption and revenue growth for 's APAC expansion.

Обязанности

In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Korea. This role is critical to 's APAC expansion.
You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Korea.
The ideal candidate will have a deep understanding of Korean business culture, a passion for developing people, and the ability to navigate Korea's relationship-driven, conglomerate-centric enterprise sales environment.
Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success
Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas
Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Korean enterprise buying cycles and decision-making processes
Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales
Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails
Build strong partnerships across the organization to drive strategic initiatives
Identify and execute on new market opportunities and use cases for 's AI solutions across enterprise segments, including Korea's large conglomerates and fast-growing digital-native companies
Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build alignment

Требования

15+ years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies
5+ years of sales leadership experience within the Enterprise segment
Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs
Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations
Strong technical acumen with ability to enable credible AI conversations
Track record of successful partnership with technical teams throughout the customer journey
Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries
Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
Experience managing complex enterprise sales cycles and helping AEs secure strategic deals
Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives
Strategic approach to market analysis combined with tactical excellence in execution
Passion for AI technology and commitment to its safe, responsible development
Business-level Korean required; English proficiency strongly preferred

Другое

’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that recruiters only contact you
We believe that the highest-impact AI research will be big science. At we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.