企业客户成功经理
Enterprise Customer Success Manager
关于 Sigma Computing
Sigma Computing 是云基础分析和商业智能的前沿公司，正在改变企业利用数据做出明智决策的方式。我们的平台弥合了复杂的数据查询与业务洞察之间的差距，为所有技术背景的用户提供直观的界面。
我们正在寻找一位对分析和商业智能有深入了解的客户成功经理加入我们的团队。此职位对于确保我们的客户从我们的平台上获得最大价值至关重要，重点是通过战略账户管理和增长计划来提高净收入留存率（NDR）。
**主要职责：**
- 战略账户管理：与客户内部的决策者和影响者建立并维护牢固的关系，重点关注高价值账户。
- 分析专长：利用您对分析和商业智能的深入理解，指导客户优化使用 Sigma Computing 平台。帮助他们理解自己的数据并获得可操作的见解。
- NDR 增长：制定并实施旨在最大化 NDR 的策略。这包括识别升级销售和交叉销售的机会，以及通过主动参与和以解决方案为导向的支持来减少流失。
- 客户倡导：在我们的客户和产品团队之间架起桥梁。倡导能提升客户满意度和留存率的功能、改进和集成。
- 成功计划：与客户合作制定并执行成功计划，使 Sigma Computing 的能力与客户的业务目标和成果保持一致。
- 教育计划：设计并提供培训课程、网络研讨会和工作坊，以提高用户对产品的了解、采用率和参与度。
**所需技能/经验：**
- 商业、分析、计算机科学或相关领域的学士或硕士学位。
- 在 SaaS、分析或商业智能行业从事客户成功、账户管理或咨询角色 7 年以上经验。
- 在具有多个优先事项和利益相关者的复杂企业销售环境中工作的经验。
- 强大的分析能力，能够使用数据解决复杂问题。
- 优秀的沟通和人际交往能力，擅长建立信任并推动参与。
- 证明能够管理...
查看英文原文
About Sigma Computing
Sigma Computing is at the forefront of cloud-based analytics and business intelligence, transforming the way businesses leverage their data to make informed decisions. Our platform bridges the gap between complex data queries and business insights, providing an intuitive interface for users of all technical backgrounds.
We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives.
**Key Responsibilities:**
- Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts.
- Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights.
- NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support.
- Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention.
- Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives.
- Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base.
**Required Skills / Experience:**
- Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field.
- 7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry.
- Experience navigating complex enterprise sales environments with multiple priorities and stakeholders
- Strong analytical skills with a proven ability to solve complex problems using data.
- Excellent communication and interpersonal skills, with a knack for building trust and driving engagement.
- Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention.
- Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery)
- ETL experience
- Experience implementing production business intelligence solutions
- Startup experience
**Additional Job details**
The base salary range for this position is $132k - $165k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.
**If you do not feel that you satisfy all the listed requirements, we encourage you to still apply.**
**About us:**
Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
Come join us!
##### Benefits For Our Full-Time Employees:
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.
_**Note:** We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise._
**Our Privacy Practices**
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s [Candidate Privacy Notice](https://www.sigmacomputing.com/legal/candidate-privacy-notice) for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
**Sigma’s use of AI**
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.