Product Manager, AI Schemas Platform

Benchling, Inc.; San Francisco (CA); Hybrid; USD 227,000 - 307,000; Full time

Job summary

Benchling is building the Schemas layer, a codeless configuration system that models scientific data and processes for scalable R&D. You will own foundational direction that other teams build on, setting the vision for primitives like fields, constraints, and data versioning.

You’ll work directly with engineering and design to ship incremental, stable features while empowering admins and developers across a broad customer base in the biotech space.

Qualifications

• 6+ years of product management experience.
• Experience providing technical solutions to internal developers and external customers.
• Demonstrated ability to explain technical concepts to customers and executive leadership.
• Experience in B2B SaaS or Developer Platform industries preferred.
• Demonstrated experience setting direction and influencing stakeholders.
• Past experience working with data modeling or databases.

Responsibilities

• Lead product management for our Schemas team.
• Engage with customers, internal teams, and Benchling fields teams to understand their problems-to-solve and use cases.
• Set the vision for Schemas that will help accelerate development amongst internal development teams.
• Empower scientists, admins, and computational teams that use Benchling to turn their data into an AI-ready structured data foundation for the entire R&D lifecycle.
• Comfortable with rapid prototyping, incremental shipping to deliver value to users, while also knowing the need to deliver stable features to our admins and developers. You ensure we ship well-crafted products at a timely pace.
• Collaborate very closely with Engineering and Design to develop new product capabilities.
• Partner with Customer Experience, Marketing, and Sales.

Skills

Systems thinking

Long-term vision

Roadmap ownership

Stakeholder influence

B2B SaaS

Data modeling

Tools

SQL

Databases

Job description

Benchling is building the Schemas layer, a codeless configuration system that models scientific data and processes for scalable R&D. You will own foundational direction that other teams build on, setting the vision for primitives like fields, constraints, and data versioning.

You’ll work directly with engineering and design to ship incremental, stable features while empowering admins and developers across a broad customer base in the biotech space.