Sales Operations Manager
Location: Multi-Location (2 Locations) · Category: Sales & Business Development · Seniority: Mid-Level · Posted: August 14, 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
Strategic leadership role optimizing sales operations, enabling revenue growth, and aligning sales execution with company objectives. Partners with the VP of Sales, Americas to define sales strategies, forecasts, and performance metrics, while streamlining processes like pipeline management and CRM optimization. Requires 8+ years of experience in sales operations, preferably in AI, SaaS, or enterprise software.
This role drives revenue growth for LinkedIn Talent Solutions in the Benelux region, managing key accounts and developing new business opportunities. The position requires fluency in Dutch and strong sales leadership skills to build and maintain client relationships.
Drives restaurant growth through strategic marketplace initiatives, focusing on merchant acquisition and retention, analyzing data to optimize growth strategies, and collaborating with cross-functional teams to expand restaurant supply.
This role leads the 'Customer Zero' initiative within channel strategy and operations, focusing on optimizing internal processes and ensuring the sales team's effectiveness. The manager drives strategic projects, analyzes performance, and collaborates with cross-functional teams to enhance channel operations.
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.
