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Customer Success Manager San Francisco Office

Lambda
$55 - $79 an hour
San Francisco, California
1 week ago
In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.


If you'd like to build the world's best deep learning cloud, join us.


  • Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.


What You’ll Do

  • Guide customers through the order process, serving as main customer advocate and POC throughout procurement, assembly, and handoff while being proactive about communicating any delays.
  • Maintain detailed and continuous communication with customers, to ensure customer satisfaction, measured in CSAT and NPS surveys.
  • Partner across internal teams and external customer stakeholders, to understand customer needs, deliver on objectives and maximize retention and growth within customer accounts.
  • Work cross functionally to ensure any post order issues are resolved in a timely manner.

You

  • You have strong written and verbal skills, you have the ability to de-escalate any situation and speak transparently to our highest tier of customers.
  • You are process oriented and have a strong desire to work collaboratively to not only maintain a process but seek to improve upon it.
  • You have at least 4 years prior experience working in Customer Success or equivalent department.
  • You are an active team player, self-starter, and multitasker who can quickly adjust priorities.
  • You are proficient with G-Suite, Salesforce, and Slack

Nice to Have

  • Technical knowledge in manufacturing, Cloud, IT, Server, AI, ML or related fields.
  • Knowledge of 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.


About Lambda

  • Founded in 2012, ~350 employees (2024) and growing fast
  • We offer generous cash & equity compensation
  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda 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.

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