高级产品经理 - 可观测性与数据质量
Senior Product Manager - Observability & Data Quality
DataHub 是一个被超过 3000 家企业采用的 AI 与数据上下文平台,包括 Apple、CVS Health、Netflix 和 Visa。DataHub 与一个拥有 13000+ 成员的活跃开源社区共同创新,其元数据图谱提供了对 AI 和数据资产的深入上下文,具备行业领先的可扩展性和可扩展性。
公司的企业 SaaS 产品 DataHub Cloud 提供了完全托管的解决方案,具备人工智能驱动的发现、可观测性和治理能力。组织依赖 DataHub 解决方案来加速数据投资的价值实现,确保 AI 系统的可靠性,并实施统一的治理,使 AI 与数据协同工作,解决数据混乱问题。
**高级产品经理,可观测性与数据质量**
作为 DataHub 的高级产品经理,负责可观测性与数据质量,您将跨职能协作,帮助从构想到发布指导产品。您将连接用户的实际技术需求和公司的业务需求。您将协助定义愿景、目标和策略,与工程师、设计师、销售和合作伙伴一起推动分析工程实践的发展。我们正在推进一项雄心勃勃的 AI 战略,专注于构建一个统一的上下文平台,解决上下文碎片化、维护、验证和可访问性等挑战。
在这一职位中,您将:
- 为我们的产品套件定义愿景、目标、策略、战术和路线图
- 研究、分析并理解数据生态系统,特别关注用户需求、市场潜力和竞争格局
- 作为交付可衡量业务和客户成果的负责人,与设计师紧密合作,为技术和非技术用户创建直观、优雅的用户体验
- 与依赖 DataHub 运行其数据环境的客户建立紧密的反馈循环,使产品朝着这些利益相关者的需求发展
- 将模糊的用户问题转化为范围明确的产品计划,并清晰地定义成功标准
- 跨职能执行,推出新的产品体验,改进现有功能,测试流程的有效性,并推动上市策略
- 激励团队共同取得卓越成就,同时将领域内的路线图与更广泛的产品战略目标和公司目标联系起来
如果您具备以下条件,将是合适的人选:
- 4 年以上产品管理经验
查看英文原文
DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.
The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.
**Senior Product Manager, Observability & Data Quality**
As a Senior Product Manager, for Observability & Data Quality, at DataHub, you will work cross-functionally to help guide products from ideation to launch by connecting the technical needs of users and the business needs of our company. You will help define the vision, goals, and strategy we pursue in concert with engineers, designers, sales, and partners that move the practice of analytics engineering forward. We are pursuing an ambitious AI strategy, focused on building a unified Context Platform that solves context fragmentation, maintenance, validation, and accessibility challenges.
In this role, you can expect to:
- Define the vision, goals, strategy, tactics, and roadmap for our suite of products
- Study, research, and understand the data ecosystem, with a specific focus on user requirements, market potential, and competitive landscape
- Serve as the accountable owner for delivering measurable business and customer outcomes; working closely with designers to create intuitive, elegant user experiences for technical and non-technical personas
- Create tight feedback loops with customers who are depending on DataHub to run their data environments so that the product evolves toward the needs of these stakeholders
- Translate ambiguous user problems into well-scoped product initiatives with clear definitions of success
- Execute cross-functionally to launch new product experiences, improve existing features, test effectiveness of workflows, and facilitate GTM motions
- Inspire teams of people to achieve great things together, while also tying the roadmap within a domain to broader product strategy goals and company goals
You are a good fit if you have:
- 4+ years of experience in product management or related function
- Previous experience working on Products with PLG or self-serve growth motion
- Deeply quantitative and enjoy rolling up your sleeves and exploring the data and connecting it to strategic initiatives
- Experience in the data space, using or building data tools
- Excellent written and verbal communicator
You'll have an edge if you have:
- Previous experience working with the modern data stack (Fivetran, Snowflake, BigQuery, Redshift, Spark, dbt, Looker, PowerBI, etc)
- Previous experience working with data catalogs (Collibra, Alation) and metadata systems
- Comfortable discussing, explaining and reasoning about data catalog best practices and expansion opportunities
### **Benefits and Perks**
We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
**Competitive compensation**
We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.
**Equity for everyone**
Every team member receives an ownership stake in the company. When we grow, you grow with us.
**Remote Work**
All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.
**Location flexibility**
Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
**Comprehensive health coverage**
Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.
**Flexible savings accounts**
We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.
**Support for every path to parenthood**
Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.
**Time off that works for you**
We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.
### **Why Join Us**
DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
By joining our team, you’ll:
- Tackle high-impact challenges at the heart of enterprise AI infrastructure
- Ship production systems that power real-world use cases at global scale
- Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world
- Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more
If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!