客户库产品经理
Product Manager, Client Libraries
高级产品经理是核心个人贡献者（IC）产品角色，负责领导一个复杂且对业务至关重要的产品领域，该领域有重大依赖关系，负责MongoDB客户端库组合（包括多种编程语言的MongoDB驱动程序、对象文档映射器和应用框架集成）在多年时间范围内的高影响力路线图和产品决策。你能够超越数据所证实的内容，提前预判客户的需求和竞争动态，即使信号不完整也能有效行动。
你在产品、工程、设计和市场推广（GTM）团队中担任关键领域的专家和导师，将模糊的机会转化为清晰的商业案例，并领导面向开发者的SDK、驱动程序、ODM（如Mongoose、Entity Framework Core、Hibernate、Django）和框架生态系统（如Drizzle、Feast）的跨职能执行。
该职位可在办公室、灵活（混合）或远程办公，地点为美国。
#### 职责
- 愿景与战略：将公司和组织战略转化为客户端库组合的引人注目的愿景和多年路线图，在主要语言推动MongoDB Atlas增长、快速增长的ODM以及战略语言社区方面，面对信息不完整的情况下做出独立优先级判断
- 预见性客户发现：在复杂领域内保持对市场和客户的深入了解，从开发者、框架维护者和企业买家中捕捉细微信号，以预见未明确表达的客户需求和竞争动态（包括原生AI工具如何重塑开发者的期望）
- 商业案例与变现：将领域内或相邻的模糊或未开发的机会（如新语言驱动程序、框架集成或驱动程序功能）转化为清晰、可操作的商业案例，包括包装、采用策略和对MongoDB Atlas的收入影响
- 复杂交付执行：通过早期识别工程团队中的技术、赋能和运营风险，确保复杂产品表面的交付按计划进行，独立做出高风险的交付决策
- 市场推广与现场赋能：与产品营销团队共同制定市场推广信息策略；紧密关注赋能或定位差距，推动跨职能工作——参与开发者社区，加入销售电话会议，并
查看英文原文
The Senior Product Manager is a core Individual Contributor (IC) product role responsible for leading a complex, business-critical product area with significant dependencies, owning high-impact roadmap and product decisions over a multi-year horizon for the Client Libraries portfolio (MongoDB drivers across many programming languages, Object Document Mappers, and App Framework integrations) at MongoDB. You move beyond what data confirms to anticipate where customer needs and competitive dynamics are heading before the data makes it obvious, acting effectively even when signals are incomplete.
You serve as a go-to domain expert and mentor across Product, Engineering, Design, and Go-To-Market (GTM) teams, turning ambiguous opportunities into clear business cases and leading cross-functional execution for developer-facing SDKs, drivers, ODMs (e.g., Mongoose, Entity Framework Core, Hibernate, Django), and framework ecosystems (Drizzle, Feast).
This role can be in-office, flexible (hybrid), or remote in the United States.
#### Responsibilities
- Vision & Strategy: Convert company and organizational strategy into a compelling vision and multi-year roadmap for the Client Libraries portfolio, making independent prioritization calls under incomplete information regarding major languages driving MongoDB Atlas growth, fast-growing ODMs, and strategic language communities
- Anticipatory Customer Discovery: Maintain deep market and customer knowledge across a complex domain, reading subtle signals across developers, framework maintainers, and enterprise buyers to anticipate unstated customer needs and competitive dynamics (including how AI-native tooling is reshaping developer expectations)
- Business Cases & Monetization: Turn ambiguous or untapped opportunities within or adjacent to your domain (such as new language drivers, framework integrations, or driver capabilities) into clear, actionable business cases, including packaging, adoption strategy, and revenue implications for MongoDB Atlas
- Complex Delivery Execution: Keep delivery on track across complex product surfaces by spotting technical, enablement, and operational risks early across engineering teams, making high-stakes delivery decisions independently
- Go-To-Market & Field Enablement: Drive go-to-market messaging strategy alongside Product Marketing; anticipate enablement or positioning gaps closely enough to drive cross-functional work—engaging with developer communities, hopping on sales calls, and publishing blog posts—before major launches or key deals
- Strategic Product Health: Independently own and resolve complex post-launch customer escalations (e.g., connection handling, API ergonomics, performance, or compatibility issues), balancing maintenance investment against new development and treating product health issues as strategic risks
- Communication & Executive Influence: Deliver difficult or incomplete messages directly across leadership levels with a clear point of view, using reasoned arguments and data to influence without authority, including explaining the rationale behind what you will and won't build
- Customer Engagement: Manage high-stakes enterprise customer conversations independently, converting pain points into roadmap contributions and bringing in leadership only when trade-offs extend beyond your domain
- Craft Mentorship: Mentor more junior PMs in developing roadmap judgment, customer intuition, and trade-off framing, helping them move from reporting facts to defending clear points of view
#### Qualifications
- 5+ years of experience in product management, technical product delivery, or software engineering, with a track record of owning complex, business-critical product areas. Ideally with SDKs, developer tools, APIs, or client-facing libraries
- Deep domain expertise in developer tools, client libraries, database drivers, ORMs/ODMs, or application framework integrations
- Strong technical fluency in at least one major programming language, alongside real familiarity with how developers construct applications using drivers, ORMs, or ODMs
- Demonstrated ability to make sound product and roadmap decisions under ambiguity using incomplete signals (support issues, usage telemetry, community sentiment)
- Track record of building actionable business cases, including adoption modeling and financial justification for new product capabilities or ecosystem investments
- Proven capability to spot delivery, technical, and operational risks early across complex cross-team dependencies
- Strong cross-functional influence without direct reporting authority, with the confidence to deliver direct, transparent messages to senior stakeholders and pitch to business unit owners internally and externally
- Excellent oral, written, and customer-facing presentation skills, with experience managing high-stakes enterprise customer and developer community conversations
#### Nice to Have
- Direct experience building, maintaining, or driving product strategy for a database driver, ORM/ODM, or client library used by external developers
- Familiarity with MongoDB specifically, or with how ODM/framework ecosystems (e.g., EF Core, Hibernate, Laravel, Django, Spring Data) relate to an underlying database's driver layer
- Familiarity with how AI-native tooling (agent frameworks, AI SDKs embedded in traditional frameworks) is reshaping developer expectations of client libraries
#### About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our [Leadership Commitment,](https://www.mongodb.com/company) guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. [From employee affinity groups, to fertility assistance and a generous parental leave policy](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. [Learn more about what it’s like to work at MongoDB](https://www.mongodb.com/blog/channel/culture), and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 3273524320
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
MongoDB’s base salary range for this role in the U.S. is:
$126,000—$248,000 USD