The Enterprise Customer Success Manager will manage relationships with key enterprise clients, help maximize product value, and drive product adoption while coordinating with various departments.
About SuperAnnotate
SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.
Why This Role Matters
We are looking for an Enterprise Customer Success Manager based in San Francisco to manage relationships with our most important customers. You will be the first hire on the CSM team on the ground in the Bay Area. You will be working in the most exciting AI domain Generative AI, computer vision (CV), and natural language processing (NLP).
Reporting to the Head of Customer Success, you will own a portfolio of Enterprise customers, helping them extract maximum value out of the SuperAnnotate solutions. You will develop a deep understanding of each customer’s business and use cases, clearly articulating SuperAnnotate’s value proposition to meet the customer’s desired outcomes.
This is a hybrid role, with the expectation of working 2-3 days per week in our San Francisco office.
What You'll Do
- Build and maintain strong, long-lasting relationships with Enterprise customers, acting as their trusted advisor and primary point of contact across the entire customer lifecycle.
- Drive adoption and utilization of our products, providing best practices, training, and ongoing support to help customers achieve maximum value.
- Work closely with customers to understand their business objectives and provide strategic guidance on how our solutions can help achieve those goals.
- Manage the renewal process and identify opportunities for upselling products or services based on customer needs.
- Prepare and lead key customer meetings such as kick-offs, QBRs and renewals
- Coordinate cross-departmentally Sales, Finance, Product and Marketing
What You'll Bring
- 5+ years of experience in Enterprise customer success, technical account management, or client relationship management roles
- Bachelor’s degree in Business, Marketing, Computer Science, or a related field
- Experience in B2B SaaS software
- Experience in AI solutions, including a basic understanding of Generative AI
- Preferred Qualifications
- Project Management, problem-solving, analytic and storytelling skills
- Strong written and oral presentation skills, engaging business or technical stakeholders
What We Offer
- Attractive base salary with significant stock options offering an ownership stake in the company’s success.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan
- Flexible paid time off, holidays, and parental leave policies
- Opportunity to shape the future of a cutting-edge technology company.
- Access to ongoing training and professional development opportunities
- Referral Program
Only shortlisted candidates will be contacted for an interview!
Equal Opportunity
We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.
Top Skills
Ai Solutions
B2B Saas Software
Computer Vision
Generative Ai
Natural Language Processing
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