高级产品经理II,AI/向量
Principal Product Manager II, AI/Vectors
Elastic,搜索AI公司,使每个人都能实时使用所有数据找到他们需要的答案——释放企业和个人的潜力。Elastic搜索AI平台被超过50%的财富500强企业使用,将搜索的精确性和AI的智能结合,使每个人都能加速实现关键成果。通过利用所有结构化和非结构化数据——更有效地保障和保护隐私信息——Elastic基于云的搜索、安全和可观察性完整解决方案帮助组织实现AI的承诺。
#### **职位描述**
我们正在寻找一位高级产品经理,负责Elastic的嵌入/重排序和向量数据库及相关功能的战略和路线图。在这一高级职位中,你将成为搜索/向量搜索的专家,指导如向量索引和混合检索等技术的发展方向。这个职位有机会塑造我们产品的重要部分,与工程和研究团队紧密合作,确保我们的产品满足众多组织的需求,同时跟上AI发展的步伐。
#### **你将负责的工作**
- 进行市场调研,发现搜索/向量数据库中的新兴趋势以及处理非结构化数据的前沿模型研究,与我们的模型团队合作。
- 评估竞争环境,提升产品定位,制定用户角色,指导功能决策。
- 与跨职能团队合作,将产品战略与业务目标对齐,根据客户反馈和市场需求优先排序功能。
- 建立向量用例的长期产品目标和里程碑,记录AI和非结构化数据管理以推动其发展。根据用户反馈和技术可行性优先排序功能和改进。合理分配资源以确保及时更新,同时与工程团队协调验证路线图假设。清晰地向利益相关者和高管传达更新和期望。
- 负责Elastic向量数据库以及核心搜索用例的愿景、策略和多季度路线图,从底层索引内部到面向开发者的API和SDK。
- 与工程和应用研究团队深入合作,讨论权衡取舍,在这些对话中成为可信的技术同行。
查看英文原文
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
#### **What is The Role**
We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI.
#### **What You Will Be Doing**
- Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team.
- Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions.
- Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands.
- Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives.
- Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs.
- Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed.
- Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality.
- Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect.
#### What You Bring
- Bachelor's degree in Computer Science, Engineering, or related field
- Master's degree in a relevant discipline preferred
- 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms.
- You should have good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency. Additionally, you need to know about hybrid retrieval.
- You should have a working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus
- You don't need to be a researcher, but you should hold your own with engineers on these topics. A track record of shipping developer- or infrastructure-facing products that were adopted at scale.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
The typical starting salary range for this role is:
$199,700—$315,900 USD
The typical starting salary range for this role in the select locations listed above is:
$239,800—$379,300 USD
### **Additional Information - We Take Care of Our People**
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [candidate_accessibility@elastic.co](mailto:candidate_accessibility@elastic.co). We will reply to your request within 24 business hours of submission.
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