高级经理，数据科学与分析（美洲）
Senior Manager, Data Science & Analytics (Americas)
#### 关于 [Customer.io](http://Customer.io)
超过9000家公司——从初创企业到全球品牌——使用我们的平台每天发送数十亿封电子邮件、推送通知、应用内消息和短信。[Customer.io](http://Customer.io) 支持人们真正想要接收的自动化沟通。我们帮助团队通过实时行为数据发送更智能、更相关的信息。
#### 关于该职位
大家好，我是 Michael，Customer.io 的数据与分析负责人，我正在寻找一位 **高级经理，数据科学与分析** 来领导并发展 [Customer.io](http://Customer.io) 的内部数据科学与分析职能。该团队是产品、市场、销售和客户体验部门的战略合作伙伴，通过预测、实验、行为分析和严谨的度量来帮助公司做出更好的决策。
在这个职位上，你将领导一个通过数据应用创造商业价值的团队。你将与公司各处的领导者紧密合作，指导决策、定义成功指标、改进客户和产品体验，并推动运营效率。
在该职位上取得成功需要强大的领导力、分析和技术严谨性以及商业敏锐度。我们认为我们的数据团队不仅仅是报告功能，更是业务的可信顾问——在模糊中带来清晰，发现机会，并帮助 [Customer.io](http://Customer.io) 在扩展过程中更快行动、更聪明地运作。
#### 我们重视的方面
**通过数据实现商业影响：** 我们注重交付价值而非报告，找到技术严谨性和商业务实之间的平衡。
**战略协作：** 我们提出想法，帮助合作伙伴制定优先事项，挑战假设，识别机会——而不仅仅是响应请求。
**责任与严谨：** 我们对自己设定高标准，关注细节，确保我们的分析、假设和建议准确、可靠且可操作。
**领导力与发展：** 我们相信优秀团队是通过指导、挑战和持续成长建立的，帮助人们完成职业生涯中最出色的工作。
#### 你将负责
- 领导并发展一支支持产品、市场、销售和客户体验的数据科学家和分析师团队。
- 领导行为分析、客户细分、实验和产品度量工作，帮助团队...
查看英文原文
#### About [Customer.io](http://Customer.io)
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. [Customer.io](http://Customer.io) powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
#### About the role
Hi, my name is Michael, Head of Data and Analytics at Customer.io, and I’m looking for a **Senior Manager, Data Science & Analytics** to lead and evolve [Customer.io](http://Customer.io)'s internal data science & analytics function. This team serves as a strategic partner across Product, Marketing, Sales and Customer Experience organizations, helping the company make better decisions through forecasting, experimentation, behavioral analytics, and rigorous measurement.
In this role, you'll lead a team responsible for delivering business value through the applied use of data. You'll partner closely with leaders across the company to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies.
Success in this role requires strong leadership, analytical and technical rigor, and business acumen. We view our data team as more than a reporting function, and as a trusted advisor to the business - bringing clarity through ambiguity, uncovering opportunities, and helping [Customer.io](http://Customer.io) move faster and operate smarter as we scale.
#### What we value
**Business impact through data:** We focus on delivering value over reporting and find the right balance between technical rigor and business pragmatism.
**Strategic partnership:** We bring ideas to the table and help our partners shape priorities, challenge assumptions, and identify opportunities — not just respond to requests.
**Ownership and rigor:** We hold ourselves to a high standard, sweating the details and ensuring our analyses, assumptions, and recommendations are accurate, trustworthy, and actionable.
**Leadership and development:** We believe great teams are built through coaching, challenge, and continuous growth, helping people do the best work of their careers.
#### What you'll do
- Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
- Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments.
- Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.
- Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics.
- Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.
#### What we're looking for
- 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams.
- Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.
- Advanced SQL skills and proficiency with Python or similar analytical tools.
- Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.
- Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.
- Comfortable balancing strategic leadership with hands-on analytical work when needed.
- Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.
- Experience in B2B SaaS, PLG, or subscription-based businesses preferred.
- Based in the Americas, remote-friendly.
#### Why this role
You'll have real ownership - of a team, of a data function, and of a company that's actively building toward an AI-native analytics future. This isn't a reporting shop. You'll have a seat at the table with senior stakeholders and the latitude to shape how data drives decisions at [Customer.io](http://Customer.io).
#### Compensation & Benefits
We believe in transparency. Starting salary for this role is **$170,000 - $200,000 USD** depending on experience and subject to market rate adjustment.
Zone 1: $204,000 - $240,000
Zone 2: $187,000 - $220,000
Zone 3: $170,000 - $200,000
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including **100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family**. We also offer **16 weeks paid parental leave, unlimited PTO**, stipends for remote work and wellness, a professional development budget, and more.
[See full benefits here →](https://customer.io/careers)
#### Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
- 30-minute video call with Recruiter
- 45-minute video call with Hiring Manager
- Three 30-minute video calls with team members
- Take-Home Assignment + Review call with the full panel
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
[Customer.io](http://Customer.io) recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official [Customer.io](http://Customer.io) letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact [jobs@customer.io](mailto:jobs@customer.io).
#### Join us!
Check out our [careers page](https://customer.io/careers/) for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.