Customer Success Manager

Tasq.ai's platform empowers the most forward-thinking Data Science and Machine Learning teams, accelerating the training and evaluation of AI models on an unprecedented scale. By leveraging our platform, our clients are at the forefront of the most sophisticated and accurate AI advancements of the 21st century.

We're currently seeking a super talented Customer Success Manager to join our team, driving company growth and elevating our enterprise accounts to new heights.

As a Customer Success Manager, you'll play a pivotal role in ensuring our clients achieve their objectives and derive maximum value from our products and services. This role involves strong client relationships, understanding their unique needs and challenges, and collaborating closely with internal teams to deliver exceptional service and support.

Key Responsibilities:

• Act as the primary point of contact for clients, proactively addressing their needs and resolving issues in a timely manner.
• Oversee project execution to ensure adherence to budget, timelines, and quality standards.
• Continuously refine customer success processes and metrics to enhance satisfaction and retention.
• Identify opportunities for optimizing project delivery processes and methodologies through post-project reviews, data analysis, and recommendations for improvement.
• Monitor client usage and engagement, taking proactive measures to enhance adoption and satisfaction.
• Facilitate onboarding, training, and ongoing support to ensure clients effectively utilize our offerings.
• Collaborate closely with the product team to relay client feedback and identify areas for product/service enhancement.
• Manage client renewals to drive high retention rates.
• Spearhead quality management initiatives by defining and monitoring quality metrics, conducting reviews, and addressing quality issues promptly.

Requirements:

• Minimum 3 years of experience as an Enterprise Account Manager/Customer Success Manager in a tech company.
• Prior experience in a B2B SaaS company.
• Strong analytical skills and technical proficiency, with a data-driven approach.
• Exceptional written and verbal communication skills in English.
• Previous exposure to or theoretical knowledge in AI, data management, machine learning, labeling, and computer vision is highly advantageous.
• Detail-oriented and hands-on with a keen ability to grasp the bigger picture.
• Familiarity with customer success metrics and tools.