Enterprise Account Executive, Texas

The Role

We’re partnering with a rapidly scaling AI infrastructure company hiring an Enterprise Account Executive to drive growth across the Texas region.

The company sits at the centre of one of the biggest shifts happening in enterprise technology right now: moving AI from experimentation into real production environments.

Their platform acts as the data retrieval layer behind AI applications, helping organisations search and retrieve unstructured data at massive scale with the speed and reliability needed for real-world AI use cases.

This isn’t just another AI tooling company or “vector database” story. The business is solving a much larger problem around how enterprises handle unstructured data as generative AI adoption accelerates.

Growth has been strong. Revenue grew from roughly $2m to $9m last year, and the company has already surpassed $14m ARR while continuing to scale globally.

This is a true enterprise role focused on running complex, multi-threaded sales cycles with companies actively investing in production AI infrastructure.

Job Summary

1. Drive enterprise sales activity across the Texas region
2. Build relationships with senior technical and business stakeholders
3. Manage complex AI infrastructure and data platform sales cycles end-to-end
4. Work closely with Solutions Architects, leadership and partners throughout deals
5. Sell into companies building production AI and large-scale data environments
6. Build pipeline through outbound, partner relationships and existing traction
7. Help expand the company’s footprint across a rapidly growing market category

Required Experience

1. 7+ years of enterprise technology sales experience
2. Proven track record exceeding enterprise quotas
3. Experience managing complex, multi-threaded enterprise sales cycles
4. Background selling infrastructure, databases, cloud, AI/ML, developer tooling or data platforms preferred
5. Strong executive communication skills
6. Ability to work within highly technical enterprise environments
7. Experience working with technical buyers, engineering teams and data stakeholders preferred