- Страна
- США
- Зарплата
- 112 000 $ – 124 000 $
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Customer Success Engineer
Отличная позиция в лидирующей AI-компании с прозрачным диапазоном зарплаты и сильным пакетом льгот. Роль 'основателя' сегмента дает большие возможности для карьерного роста.
Сложность вакансии
Роль требует сочетания технических навыков (Python, SQL) и способностей к стратегическому планированию. Основная сложность заключается в необходимости создавать процессы с нуля для нового сегмента рынка.
Анализ зарплаты
Предложенная зарплата ($112k - $124k) находится на уровне или чуть выше рыночного медианного значения для позиций начального уровня (0-1 год опыта) в сфере Customer Success Engineering в США, особенно учитывая удаленный формат работы.
Сопроводительное письмо
I am writing to express my strong interest in the Customer Success Engineer position at Dataiku. With a background in data science and a passion for technical enablement, I am excited by the opportunity to be the founding CSE for your Lower Enterprise segment. My experience in Python and SQL, combined with a proactive approach to building scalable frameworks, aligns perfectly with your goal of driving adoption across the AMER region.
In my previous projects, I have focused on translating complex technical features into measurable business value, much like the mission at Dataiku. I am particularly drawn to this role's entrepreneurial nature, where I can help define the blueprint for customer success and build 'communities of practice' from the ground up. I am confident that my technical proficiency and communication skills will help Dataiku's clients operationalize AI as a true performance engine.
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Описание вакансии
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Dataiku is focused on delivering meaningful outcomes with business analytics, AI/ML, and Gen AI. As aCustomer Success Engineer (CSE) within our Solutions Engineering team, you'll focus on technical programming to increase adoption through product enablement and one-to-many user engagement.
In this founding role for our Lower Enterprise segment, you will be the first CSE hire dedicated to customers with annual revenues between $1B and $10B. Covering all customers across AMER, we are looking for creative problem-solving to help build scalable frameworks that support a high volume of accounts. This role offers high flexibility and high expectations, as you will define the segment's strategy and help pave the way for future continental leadership opportunities.
How You’ll Make an Impact
- Define the Blueprint: Help define the role, building programs and automations for repeatable, scalable use across AMER.
- Scale through Innovation: Develop and A/B test enablement programs to identify the most effective ways to drive user adoption and satisfaction at scale.
- Technical Enablement: Execute demonstrations of new product features and conduct hands-on workshops in collaboration with Sales Engineers.
- Drive Adoption: Focus on onboarding and increasing user retention by educating customers on best practices within the Dataiku platform.
- Strategic Advisory: Establish regular touchpoints to advise users on applying Dataiku to their specific business needs and use cases.
- Evangelism & Use Case Documentation: Execute programs to create self-sustaining enablement and "communities of practice" within customer accounts, capture and document client use cases and stories to share the impact of their work.
- Expansion & Growth: Collaborate with Account Executives and Sales Engineers to identify expansion opportunities that drive additional value.
What You’ll Need to Be Successful
- Foundational Experience: 0-1 years in sales engineering, technical consulting, or data science roles with a track record of customer satisfaction.
- Entrepreneurial Mindset: Ability to navigate ambiguity, build consensus, and work with urgency to define a new segment's success.
- Communication Excellence: Strong written and oral presentation skills, with the ability to tailor messaging to both no-code and high-code users.
- Public Speaking: A knack for engaging with all levels of customer teams, from individual contributors to leadership.
- Travel: Willingness to travel up to 25% across the AMER region.
What Will Make You Stand Out
- Technical Proficiency: Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, or SQL.
- Platform Certifications: Dataiku Advanced Designer, Snowflake SnowPro Core, or Databricks Business Analyst certifications.
- Strategic Vision: Experience building and operating communities of practice or scalable post-sales programs.
- Intellectual Curiosity: A never-ending desire to learn new solutions and translate features into business value.
Compensation and Benefits
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
US only national base pay ranges
$112,000—$124,000 USD
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
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Навыки
- Python
- SQL
- Kubernetes
- Snowflake
- Databricks
- R
- Data Science
- Technical Consulting
- Sales Engineering
Возможные вопросы на собеседовании
Роль предполагает создание стратегии для нового сегмента. Важно понять, как кандидат справляется с неопределенностью.
Как бы вы подошли к созданию фреймворка для онбординга клиентов в сегменте с годовым доходом от 1 до 10 миллиардов долларов?
Проверка технических навыков и умения объяснять сложные вещи просто.
Представьте, что вам нужно провести воркшоп по использованию Python внутри Dataiku для пользователей, которые привыкли работать без кода. Как вы построите обучение?
Вакансия требует навыков масштабирования процессов.
Какие инструменты или методы автоматизации вы бы использовали для поддержки большого количества аккаунтов без потери качества взаимодействия?
CSE должен работать в связке с отделом продаж.
Как вы определяете момент, когда техническая консультация должна превратиться в поиск возможностей для расширения контракта (upsell)?
Проверка опыта работы с данными.
Опишите ваш опыт работы с SQL или Kubernetes. Как эти навыки помогали вам решать проблемы клиентов в прошлом?
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- Страна
- США
- Зарплата
- 112 000 $ – 124 000 $