You'll be zaimler's first product hire. The platform exists, enterprise customers are live, and now we need someone to own the path from early traction to real adoption. That means defining what "knowledge as an API" looks like as a product, shaping the SDK and developer experience, and making the platform something customers pull into their stack rather than something we push.
This is a deeply technical, cross-functional role. You'll work directly with the founders, engineering, design, and GTM to drive product direction, and you'll spend real time with enterprise customers and ISV partners in the data and ML ecosystem to ground every decision in what actually matters.
What You'll Do
- Own the product end to end: vision, strategy, roadmap, execution, launch, and iteration for zaimler's platform capabilities
- Define and ship the core product surfaces: platform APIs, SDKs, developer experience, and the product interfaces that make zaimler's infrastructure accessible and self-serve
- Partner directly with enterprise customers and ISV partners to understand workflows, validate solutions, and prioritize the highest-impact work
- Drive adoption by working with engineering, design, sales, and marketing to ship features that move measurable customer outcomes
- Establish product metrics and feedback loops that connect what you're shipping to the value customers are getting
- Collaborate closely with the founders to align product initiatives with business goals, company narrative, and competitive positioning
Must-haves
- 10+ years in product, including at cloud, data platform, developer platform, or ML infrastructure companies
- At least one product you owned from 0 to 1 through real external adoption, not just optimization of an existing surface
- You've shipped a developer-facing, API- or SDK-first product that external engineering teams actually adopted. You treat developer experience as a product discipline, not a docs afterthought
- Deep fluency in how enterprise data and ML teams actually work: integration patterns, the buying and adoption path, and the gap between a demo and production
- Comfortable operating across the full range from engineers to executives and CIOs, able to hold your own in technical conversations even without an engineering background
- Track record shipping cross-functional products with engineering and design, and comfort being the external product voice with design partners and ISVs
Nice-to-haves
- CS or engineering background, or equivalent technical depth
- Experience working with large enterprise customers and ISV partners, particularly in data or ML ecosystems
- Background in knowledge graphs, semantic technologies, or AI infrastructure
- 0 to 1 alongside founders at an early-stage startup
Working style
- You'd rather talk to a customer than write a PRD, and you use what you learn to make the PRD better
- You're comfortable making decisions with incomplete information and iterating fast
- You think about adoption as a product problem, not a marketing problem
Compensation & Benefits
- Competitive salary benchmarked to the San Mateo / Bay Area market
- Meaningful early-stage equity
- Health, dental, and vision insurance
- Flexible PTO
- On-site in San Mateo, CA
- Commuter benefits
Skills Required
- 5+ years of product management experience in cloud, data platforms, developer platforms, analytics, or ML infrastructure
- Experience taking a product from 0 to 1 in a greenfield environment
- Deep familiarity with the data and ML ecosystem
- Technical foundation: CS degree or prior engineering experience
- Track record of shipping cross-functional products
- Exceptional communication skills
What We Do
Zaimler is an AI infrastructure company that provides a platform for enterprise AI agents. It focuses on discovering domain knowledge, mapping relationships, and providing semantic understanding to enable autonomous agents to reason over fragmented enterprise data. Founded by industry veterans, the company aims to build the infrastructure layer for the agentic era, supporting real-time inference and precision at scale for enterprises in sectors like insurance, travel, and technology.
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