Platform Product Lead for Enterprise AI Infrastructure

Mixpeek; San Mateo (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

On-site in San Mateo, CA

Competitive equity

Health, dental, and vision insurance

Flexible PTO

Commuter benefits

Job summary

zaimler is hiring its first product hire to own the path from early traction to real adoption. You will define what knowledge-as-an-API looks like, shape the SDK and developer experience, and make the platform a pull-in capability for customers’ stacks.

This deeply technical, cross-functional role involves working with founders, engineering, design, and GTM to shape product direction and ground decisions in real customer needs across data and ML ecosystems.

Qualifications

• 10+ years in product roles at cloud, data platform, or ML infra.
• Led a 0-to-1 product with external adoption.
• Shipped a developer-facing API/SDK product.
• Deep fluency in enterprise data/ML workflows.
• Able to communicate across engineers to CIOs and executives.
• Experience working with enterprise customers and ISV partners (nice-to-have).

Responsibilities

• Own the product end-to-end: vision, strategy, roadmap, launch, and iteration.
• Define and ship core product surfaces: platform APIs, SDKs, developer experience.
• Partner with enterprise customers and ISV partners to understand workflows and priorities.
• Drive adoption by coordinating with engineering, design, sales, and marketing.
• Establish product metrics and feedback loops tied to customer value.
• Collaborate with founders to align product initiatives with business goals.

Skills

Product management

API-first product

Developer experience

Enterprise data & ML workflows

Cross-functional collaboration

Education

CS or Engineering background

Job description

zaimler is hiring its first product hire to own the path from early traction to real adoption. You will define what knowledge-as-an-API looks like, shape the SDK and developer experience, and make the platform a pull-in capability for customers’ stacks.

This deeply technical, cross-functional role involves working with founders, engineering, design, and GTM to shape product direction and ground decisions in real customer needs across data and ML ecosystems.