At careerzynith, we're revolutionizing the way the world builds, trains, and deploys AI models. As a leading provider of GPU Cloud solutions, we empower engineers to easily, securely, and affordably develop AI products at scale. Our comprehensive portfolio includes on-prem GPU systems, hosted GPUs across public and private clouds, and managed inference services – serving government, researchers, startups, and enterprises worldwide. If you're passionate about delivering exceptional customer experiences and driving business growth, we invite you to join our dynamic team. As an Experienced Customer Success Manager at careerzynith, you'll play a critical role in ensuring our customers achieve their AI and ML goals while fostering long-term relationships and loyalty.

About careerzynith

careerzynith is a rapidly growing company with a strong presence in the AI and ML industry. Founded in 2012, we've established ourselves as a leader in GPU Cloud solutions, with a talented team of over 350 employees and a growing list of prestigious investors. Our commitment to innovation, customer satisfaction, and employee well-being has earned us a reputation as a top employer in the industry.

Key Responsibilities

As an Experienced Customer Success Manager at careerzynith, your primary responsibilities will include:

• Guiding customers through the order process, serving as their main advocate and point of contact throughout procurement, assembly, and handoff while proactively communicating any delays.
• Maintaining detailed and continuous communication with customers to ensure satisfaction, measured through CSAT and NPS surveys.
• Partnering across internal teams and external customer stakeholders to understand customer needs, deliver on objectives, and maximize retention and growth within customer accounts.
• Working cross-functionally to ensure any post-order issues are resolved in a timely manner.

You

We're looking for a highly skilled and motivated individual with a passion for customer success. To be successful in this role, you'll need:

• Strong written and verbal skills, with the ability to de-escalate any situation and communicate transparently with our highest-tier customers.
• A process-oriented mindset, with a strong desire to work collaboratively to maintain and improve processes.
• At least 4 years of prior experience working in Customer Success or an equivalent department.
• Excellent teamwork, self-starting, and multitasking skills, with the ability to quickly adjust priorities.
• Proficiency with G-Suite, Salesforce, and Slack.

Nice to Have

While not required, the following skills and knowledge would be beneficial:

• Technical knowledge in manufacturing, Cloud, IT, Server, AI, ML, or related fields.
• Familiarity with Monday, Front, and Vitally.

Salary Range Information

Based on market data and other factors, the hourly range for this position is $55.00-79.00 per hour. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Benefits and Perks

As an careerzynith employee, you'll enjoy a comprehensive benefits package, including:

• Generous cash and equity compensation.
• Health, dental, and vision coverage for you and your dependents.
• Wellness and commuter stipends for select roles.
• 401k Plan with 2% company match (USA employees).
• Flexible Paid Time Off Plan that we all actually use.

Equal Opportunity Employer

careerzynith is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. If you're passionate about delivering exceptional customer experiences and driving business growth, we invite you to join our dynamic team. Apply now to become an Experienced Customer Success Manager at careerzynith and be part of our mission to revolutionize the way the world builds, trains, and deploys AI models. Apply for this job