Senior Product Manager

zaimler

$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of product management experience in cloud, data, developer platforms, analytics, or ML infrastructure
  • Experience launching a product from concept to market in a new environment
  • Solid understanding of enterprise use cases and workflows in the data and ML ecosystem
  • Technical foundation through a CS degree or engineering background
  • Proven track record of shipping products in collaboration with engineering and design teams
  • Strong communication skills to simplify technical concepts for diverse audiences

Responsibilities

  • Own the entire product lifecycle from vision to execution for zaimler's platform
  • Define and launch essential product features like APIs, SDKs, and user interfaces
  • Engage with enterprise customers to understand their workflows and validate product solutions
  • Coordinate with cross-functional teams to deliver features that enhance customer impact
  • Establish metrics and feedback channels to measure product success and customer satisfaction
  • Work closely with the founder to align product strategy with business objectives

Benefits

  • Competitive salary benchmarked to the San Mateo/Bay Area market
  • Meaningful early-stage equity
  • Health, dental, and vision insurance
  • Flexible PTO
  • On-site position in San Mateo, CA
  • Commuter Benefits
Full Job Description
About zaimler

AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.

zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.

zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're a small, senior team at the seed stage, deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of AI runs on, we'd love to talk.

The Role

You'll be zaimler's first Product Manager. 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 founder, 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 founder to align product initiatives with business goals, company narrative, and competitive positioning


Must-haves
    • 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, not just optimizing an existing product
    • Deep familiarity with the data and ML ecosystem: enterprise use cases, integration patterns, and how data teams actually work
    • Technical foundation: CS degree or prior engineering experience. You need to be able to engage with engineers on system design, API contracts, and architecture tradeoffs.
    • Track record of shipping cross-functional products by partnering closely with engineering and design
    • Exceptional communication: you can translate technical complexity into clear narratives for customers, stakeholders, and the team


Nice-to-haves
    • Experience working with large enterprise customers and ISV partners, particularly in data or ML ecosystems
    • Background in knowledge graphs, semantic technologies, or AI infrastructure
    • Experience building developer-facing products (APIs, SDKs, documentation, developer portals)
    • Prior experience at an early-stage startup where you shaped product direction alongside founders


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


We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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