Account Executive
Location: Multi-Location (2 Locations) · Category: Sales & Business Development · Seniority: Mid-Level · Posted: April 15, 2024 · Verified: Oct 10, 2026
Role Overview & Description
Track team expansion and market signals for Hive
Polaris7 monitors open roles, strategic market movements, and M&A developments in real time. Get automated intelligence briefings on Hive and benchmark against direct competitors.
Hive
thehive.aiEnterprise AI APIs for moderation, fraud detection and content safety.
Unlock full company profile, competitors & live market signals for Hive
Similar Positions in DACH
Related roles across advertising, media, and data
This role is a high-velocity SMB sales position at an AI-native insurance company, responsible for closing qualified leads over the phone at high volume (100+ calls per day). The Account Executive uses Harper's AI tools to prepare, qualify, and follow up, while providing feedback to improve the AI's sales capabilities. Success is measured by policies closed and revenue generated, with a focus on maintaining close rates at scale.
This role focuses on selling Hebbia's AI solutions to enterprise clients. It requires strong sales skills and experience in enterprise software sales to drive revenue growth and expand market presence.
This senior account executive role focuses on driving sales of AI-related products and managing strategic acquisitions. The position involves identifying and closing high-value deals, leveraging AI trends, and aligning with corporate strategy.
This role focuses on selling HubSpot's CRM platform to enterprise-level accounts. The Account Executive will manage complex sales cycles, engage with C-level executives, and drive significant revenue growth. Key requirements include a proven track record in enterprise B2B SaaS sales and strategic account management.
More Positions at Hive
3 more open roles
This role supports the Hive Models team in defining product requirements and implementation, collaborating with ML, Core Infrastructure, and Product teams. The APM will contribute to the development of cloud-hosted deep learning models and build a foundation for future product ownership.
This role supports the Data Operations team in developing proprietary AI models by managing projects that deliver high-quality training and testing datasets. The analyst will analyze priorities, metrics, and deliverables, playing an essential part in the product development lifecycle within a fast-growing startup.
This role involves working directly with customers to deploy and customize Hive's AI solutions, often integrating them into client environments. The engineer will build and adapt software to meet specific customer needs, requiring strong problem-solving and communication skills.
