Job summary
Job post source
This job is directly from Datagrid AI
Job overview
The Customer Success Manager at Datagrid AI is responsible for driving customer engagement, retention, and long-term success by acting as a strategic partner to enterprise clients and ensuring they achieve measurable business outcomes with AI-driven data solutions.
Responsibilities and impact
The role involves managing enterprise customer portfolios from onboarding to renewal, driving adoption and satisfaction, prompting large language models for insights, collaborating with Sales, Product, and Engineering teams, leading business reviews, and proactively managing churn risks.
Compensation and benefits
The salary range is $70,000 to $100,000 USD annually, with eligibility for equity, home office reimbursement, health, dental, vision benefits, flexible PTO, and remote work options.
Experience and skills
Candidates should have 3+ years in Customer Success or related roles in SaaS, Data, or AI companies, experience with prompting LLMs, enterprise customer management, strong business acumen, communication skills, and familiarity with CRM tools; data infrastructure or AI background is a plus.
Work environment and culture
Datagrid AI promotes a fast-paced, high-growth startup environment valuing self-starters, adaptability, entrepreneurial mindset, and ownership mentality with a customer-centric focus.
Company information
Datagrid AI develops AI agents that automate workflows across multiple platforms and APIs, focusing on trust, precision, and enterprise control to enhance productivity and data utilization.
Job location and travel
The position is based in the San Francisco Bay Area with flexible remote work options and home office support.
Unique job features
The role uniquely involves leveraging AI and large language models to extract insights and automate workflows, offering a blend of consulting, project management, and advocacy in a cutting-edge AI company.
Company overview
Datagrid AI is a cutting-edge technology company specializing in artificial intelligence solutions designed to enhance data processing and analytics capabilities for businesses across various industries. They generate revenue by offering AI-driven software products and services that help organizations optimize their operations, improve decision-making, and gain valuable insights from large datasets. Founded with a vision to revolutionize data management, Datagrid AI has quickly established itself as a leader in the AI sector, known for its innovative approach and commitment to advancing AI technology. The company continues to expand its influence by collaborating with industry leaders and investing in research and development to stay at the forefront of AI advancements.
How to land this job
Position your resume to highlight your experience managing enterprise-level customers, focusing on retention, revenue growth, and driving data-driven decision-making, which aligns with Datagrid AI’s Customer Success Manager role.
Emphasize your proficiency with prompting large language models (LLMs), familiarity with CRM and Customer Success tools like Salesforce or Gainsight, and your ability to work cross-functionally with Sales, Product, and Engineering teams.
Apply through multiple channels including Datagrid AI’s official careers page, LinkedIn job postings, and other reputable job boards to maximize your application visibility.
Connect with current Customer Success Managers or team members in related departments at Datagrid AI on LinkedIn; open conversations by referencing recent AI innovations they’ve shared or by asking how Datagrid’s AI-driven solutions are transforming customer workflows.
Optimize your resume for ATS by incorporating keywords from the job description such as 'customer retention,' 'enterprise account management,' 'LLM prompting,' 'data-driven insights,' and 'cross-functional collaboration' to ensure your resume passes initial automated screenings.
Utilize Jennie Johnson’s Power Apply feature to automate tailored resume customization, identify multiple application sources, and find LinkedIn connections to network with, allowing you to focus your energy on preparing for interviews and strategic networking.
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