- Страна
- США
- Зарплата
- 132 000 $ – 165 000 $
Откликайтесь
на вакансии с ИИ

Enterprise Customer Success Manager
Отличная вакансия в быстрорастущем стартапе (Series D) с сильной финансовой поддержкой и современным стеком. Предлагается конкурентная зарплата, опционы и работа в офисе в Нью-Йорке, что способствует быстрому профессиональному росту.
Сложность вакансии
Высокая сложность обусловлена требованием глубоких технических знаний (SQL, ETL, облачные хранилища данных) в сочетании с 7-летним опытом управления крупными корпоративными аккаунтами. Роль требует баланса между технической экспертизой и навыками стратегических продаж для роста NDR.
Анализ зарплаты
Предлагаемый диапазон $132k - $165k (базовая часть) полностью соответствует рыночным стандартам для Senior/Enterprise CSM в Нью-Йорке. С учетом переменной части и опционов, совокупный доход может значительно превышать средние показатели по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Enterprise Customer Success Manager position at Sigma Computing. With over 7 years of experience in SaaS and a deep-seated passion for business intelligence, I have consistently helped enterprise clients bridge the gap between complex data and actionable insights. My background in SQL and experience with cloud data warehouses like Snowflake and BigQuery align perfectly with Sigma’s innovative platform.
In my previous roles, I have successfully driven Net Dollar Retention by developing strategic success plans and identifying expansion opportunities within high-value accounts. I am particularly drawn to Sigma’s unique spreadsheet-like interface that empowers non-technical users, and I am eager to leverage my analytical skills to advocate for customer needs and foster long-term product adoption. I look forward to the possibility of contributing to your team's continued growth following your impressive Series D funding.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в sigmacomputing уже сейчас
Присоединяйтесь к лидеру в сфере облачной аналитики и помогите крупнейшим компаниям мира извлекать максимум пользы из их данных!
Описание вакансии
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 analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
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 Computing 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, or veteran 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, and London.
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 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 USA, the UK, and Canada).
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.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- SQL
- Data Visualization
- ETL
- Snowflake
- Databricks
- Amazon Redshift
- Google BigQuery
- SaaS
- Business Intelligence
- Account Management
- Python
Возможные вопросы на собеседовании
Проверка способности кандидата влиять на ключевой показатель эффективности (NDR) через стратегическое планирование.
Расскажите о вашем опыте управления Net Dollar Retention (NDR). Какие конкретные стратегии вы использовали для увеличения выручки внутри существующих аккаунтов?
Оценка технической грамотности и понимания стека технологий, с которыми работает Sigma.
Опишите ваш опыт работы с SQL и облачными хранилищами данных (например, Snowflake или BigQuery). Как эти навыки помогали вам в решении проблем клиентов?
Проверка навыков управления ожиданиями и ведения переговоров на уровне руководства крупных компаний.
Как вы подходите к выстраиванию отношений с лицами, принимающими решения (C-level), в крупных корпоративных структурах?
Оценка способности кандидата обучать клиентов и внедрять продукт в их рабочие процессы.
Приведите пример, когда клиент не видел ценности в продукте. Как вы изменили его мнение и обеспечили успешное внедрение?
Проверка умения работать в связке с отделом разработки для улучшения продукта.
Как вы приоритизируете запросы клиентов на новые функции и как транслируете их продуктовой команде?
Похожие вакансии
Technical Account Manager
Technical Account Manager
Designated Technical Support Engineer
Designated Technical Support Engineer
Designated Technical Support Engineer
Support Associate( TEMP)
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 132 000 $ – 165 000 $