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Salary: USD 250,000 - 300,000 / annual
Arize AI is the leading AI and Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. The company is Series C-backed with over $135M in funding and serves 150+ leading enterprises and Fortune 500 companies including Booking.com, Uber, Siemens, and PepsiCo.
As an Enterprise Account Executive for the APJ region, you will be responsible for finding, winning, and growing new customers in the AI/ML observability space. This is a full-cycle sales role requiring a client-obsessed, entrepreneurial approach to building relationships with AI/ML leaders and identifying opportunities where Arize's platform can drive value.
Key responsibilities include:
- Building and maintaining relationships with AI/ML stakeholders and actively participating in the community
- Conducting discovery with prospects and communicating the Arize vision
- Running sophisticated prospecting strategies to identify and generate new business opportunities
- Creating sales plays, developing talk tracks, and strategically identifying new business opportunities
- Deeply researching accounts, stakeholders, and competitors
- Managing proof-of-concepts and driving adoption within customer accounts
- Navigating internal and external stakeholders to ensure successful implementations
- Understanding customer use cases, scoping licensing agreements, and identifying expansion opportunities
- Applying BANT or MEDDIC sales methodologies
You will be part of a team composed of industry veterans who have built deep learning infrastructure, autonomous systems, ridesharing marketplaces, and ad tech platforms. The role offers the opportunity to work with complex, high-stakes enterprise sales cycles in a rapidly growing AI infrastructure market.
Requirements:
- 5+ years of enterprise SaaS sales experience with a track record of success
- Hunger, aggression, and strong motivation to close deals
- Familiarity with or willingness to learn sales technologies for prospecting and lead generation
- Self-starter mentality and comfort working in limited-process environments
- Full-cycle sales experience and ability to navigate complex enterprise deal structures
- Fast-paced, customer-focused approach
- Strong collaboration and teamwork skills
- Excellent communication abilities with ability to clearly articulate field observations
Bonus experience (not required):
- Previous sales experience in Software Engineering, Data Science, or Machine Learning sectors
