产品经理，平台
Product Manager, Platform
我们正在为人工智能时代重建生物科技。
当突破被延迟时，世界将停滞。将一种分子从发现到患者，或一种作物从实验室到田间，需要数千个缓慢、手动且不连贯的步骤。人工智能有潜力改变这一现状，将数十年的研发工作压缩成几年。但只有当干净、结构化的科学数据和人工智能被融入科学研究的方式中，这种改变才会发生。
Benchling 是生物技术研发的人工智能平台。科学家使用 Benchling 来设计实验、捕获结构化数据，并在他们的工作流程中直接运行人工智能代理和模型。全球超过 20 万位科学家信任 Benchling 为其最重要的工作提供支持，从学术实验室到赛诺菲、Moderna，以及世界上前 50 强生物制药公司的一半以上。
我们正在为客户打造一个人工智能科学家。如果我们自己没有建立这种能力，就无法做到这一点。人工智能素养是我们构建的基础；它是我们工作方式的核心，我们致力于帮助每一位新员工将其融入日常工作中。作为我们面试流程的一部分，你将完成一个简短的人工智能相关练习或讨论，以便我们了解你如何思考并利用人工智能在你的角色中推动影响。你可以自由参考你目前使用的任何工具、平台或工作流程。
职位概述
人工智能的价值取决于其底层数据。Schemas 是客户用来建模科学数据和流程的配置层。它是客户定义的数据模型，使 Benchling 与点解决方案不同，并且是其他所有系统（内部应用、集成、人工智能代理）在读写 Benchling 数据时所依赖的契约。如果做对了，人工智能将继承一个坚实的基础；如果做错了，上层的所有系统都将受到影响。
作为 Schemas 产品经理，你负责所有其他团队构建其功能的基础组件（模式类型、计算字段、字段集、约束、静态属性、数据版本控制）。这是平台团队中最具影响力、最具有技术挑战性的职位之一，我们现在正加大投入，因为 Benchling 上越来越多的人工智能功能都依赖于底层数据模型的质量。
职责
- 为 Schemas 设定产品方向并逐步实现，平衡快速原型开发与管理员和开发者所依赖的平台稳定性。
- 坚持追踪客户如何使用 Schemas —— 在哪里带来惊喜，在哪里出现失败，并为每个用户建立清晰的人物画像和任务背景。
查看英文原文
We are rebuilding biotech for the AI era.
When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.
Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.
We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.
ROLE OVERVIEW
AI is only as good as the data underneath it. Schemas is the configuration layer where customers model their scientific data and processes. It's the customer-defined data model that makes Benchling different from a point solution, and the contract every other system (internal apps, integrations, AI agents) relies on when reading or writing to Benchling. Get it right, and AI inherits a solid foundation; get it wrong, every layer above inherits the problem.
As Schemas PM, you own the primitives (schema types, computed fields, fieldsets, constraints, static properties, data versioning) that every other team at Benchling builds on top of. This is one of the highest-leverage, most technically interesting roles on the platform team, and one we're investing in now as AI features across Benchling increasingly depend on the quality of the underlying data model.
RESPONSIBILITIES
- Set product direction for Schemas and ship toward it incrementally, balancing fast prototyping with the platform stability admins and developers depend on.
- Relentlessly track how customers use Schemas — where it delights, where it fails — and build sharp personas and job-to-be-done context for each user type (admins, scientists, computational teams, internal and external developers).
- Bring customer "why," not just feature requests, back to Engineering and Design; partner with them closely to ship new capabilities.
- Champion structured, well-modeled data as the foundation for AI value across Benchling, anticipating what schema consumers will need next.
- Partner with Customer Experience, Field, Sales, and Marketing to get customer signal into the roadmap early.
- Partner closely with other Platform and Apps PMs — schemas underpin nearly every other platform surface, so alignment on sequencing and shared abstractions matters as much as your own roadmap.
QUALIFICATIONS
- Energized by platform work and systems thinking; comfortable building the right abstraction ahead of need.
- Has designed, owned, or significantly evolved a data-modeling, schema, or configuration system used by external developers or technical admins — not just consumed one as a feature.
- Becomes the go-to person for customers, field, and engineers — not a router to engineering.
- Deep, demonstrated discovery practice: has built personas and JTBD frameworks from scratch, not just used ones handed to them.
- Track record balancing long-term vision with incremental shipping.
- Strong communicator across technical and executive audiences; B2B SaaS or developer-platform background preferred.
- Genuine curiosity about the science behind the data. You don't need a science background, but you should want one by the end of your first quarter here.
HOW WE WORK
Flexible Hybrid Work: We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site Monday, Tuesday, and Thursday.
#LI-EK1
Benchling welcomes everyone.
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.