Founding Account Executive, Database Optimization (DBO)

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Cast AI Database Optimizer (DBO) helps organizations improve database performance while reducing infrastructure cost and operational effort. It combines autonomous query caching, connection pooling, AI-driven query rewriting, and automated performance tuning for PostgreSQL and MySQL environments. Instead of stopping at recommendations that engineering teams must implement themselves, DBO takes tuning actions automatically. It works with self-hosted, cloud-hosted, and managed databases and does not require application code changes.

We are hiring a Founding Account Executive to develop and close new business for DBO as we turn early customer validation into a repeatable commercial motion. You will own the complete sales cycle: creating and converting pipeline, leading technical discovery and standard product demonstrations, coordinating proofs of concept, building the business case, and negotiating and closing new customers.

This is a hands-on individual-contributor role with unusual influence. You will work directly with Cast AI's founders and DBO Product and Engineering leaders to refine our ideal customer profile, sharpen our positioning, and turn customer learning into a scalable sales playbook. As the team grows, there will be opportunities to take on broader scope and help shape how the commercial organization develops.

Our primary focus is net-new customer acquisition in North America. The target market includes upper mid-market and emerging-enterprise organizations with meaningful database scale, as well as fast-growing cloud-native companies that offer faster adoption and land-and-expand potential. You will be supported by product marketing, inbound demand generation, and AI-assisted lead nurture. Cast AI will also bring the right Product and Engineering resources into discovery and qualified proofs of concept, giving you strong technical support while you remain accountable for the customer relationship and commercial process. 

Success will be measured through new annual recurring revenue, net-new customers, qualified pipeline, referenceable wins, forecast quality, and evidence that the DBO sales motion is becoming repeatable.

Requirements:

• Five or more years of quota-carrying B2B technology sales experience, including enterprise or upper mid-market customers.
• A consistent record of meeting or exceeding new-business targets and winning net-new logos.
• Experience selling database, DBaaS, caching, data infrastructure, database observability, or application-performance solutions to technical organizations. Adjacent infrastructure experience may qualify when it includes repeated sales to DBAs or database-owning engineering teams.
• Working knowledge of PostgreSQL or MySQL and familiarity with concepts such as query performance, query optimization, caching, connection pooling, read replicas, and automated database tuning.
• Experience leading initial technical discovery and standard product demonstrations, with good judgment about when to involve Product or Engineering specialists.
• Ability to explore a customer's architecture, connect technical pain to business value, and recognize when Product or Engineering should join a deeper discussion.
• Experience running time-bound technical evaluations or proofs of concept in partnership with customer and engineering teams.
• Ability to create pipeline through focused outbound activity in addition to con