--- title: 'Head of Product at zaimler' canonical: 'https://feeny.ai/job/head-of-product-zaimler-san-mateo-fm34fzygn69c' type: 'job' last_seen: '2026-09-15' --- # Head of Product at zaimler - **Company:** zaimler - **Location:** San Mateo, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-02-06 - **Last confirmed live:** 2026-09-15 - **Apply:** https://jobs.lever.co/zaimler/6eac543e-74a9-4f00-a108-2f341df5bd07 ## 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 growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk. ## The Role 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 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. ## About zaimler ## Company Overview - **One-liner**: zaimler provides a unified data context and governance layer that enables enterprises to build deterministic AI agents by curating siloed data into a live, governed ontology. - **Entity Type**: Private (Seed stage; raised $10M) - **Headquarters**: San Mateo, California, USA - **Founded**: 2024 - **Founders**: Not publicly named (described as industry veterans with experience in data infrastructure and ML research) ## Core Business - **Primary industry/industries**: Data Infrastructure & Analytics, Enterprise AI - **Target customers**: B2B – large enterprises in insurance, travel, healthcare, and technology sectors - **Mission or purpose statement**: “Make your data AI ready” – one governed model over existing data, serving every agent, analyst, and application. ## Products & Services - **Platform**: The context and governance layer for agentic AI. Connects sources (ODS, lakehouses, systems of record), maps a unified model, and serves every workload from one foundation. - **Ontology**: Auto-inferred by a semantic analyzer, validated by the team. Reduces ontology-building from quarters to days. - **Explorer**: Natural-language query interface that traces every answer back to its source across all connected systems. - **Governance**: Single control plane for policy, lineage, and audit. Enforces access policies across every source without moving data. ## Market Standing - **Valuation/Market Cap**: Not disclosed (Seed stage, raised $10M) - **Key Metric**: Total funding of $10M (Seed round); signing 7-figure contracts with early enterprise customers. - **Notable Investors/Partners**: Not explicitly named in available sources; investors are likely venture firms (undisclosed). - **Growth Signals**: Team grew from 1 to ~12 employees (+150% YoY according to LinkedIn, though likely undercounted); hiring pace of 3 roles per 90 days; has significant traction with large contracts. ## Competitive Advantages - **Auto-inferred ontology**: Uses semantic analysis to automatically map business concepts, replacing manual, quarter-long ontology builds. - **Sovereign deployment**: Supports VPC, air-gapped, or on-prem deployments – critical for regulated industries. - **Real-time context update**: Changes in source systems are reflected live without data movement. - **Unified governance**: Access policies enforced from a single point of entry across all sources. ## Strategic Focus - **Current priorities**: Scaling the platform to serve more enterprise workloads; expanding go-to-market in insurance, healthcare, and travel verticals; building out the engineering team (Data Infrastructure Engineer, Forward Deployed Engineer, BI Engineer). - **Direction**: Becoming the standard infrastructure layer for agentic AI – enabling autonomous agents to reason over fragmented enterprise data with precision and trust. ## Why Work Here - **Culture**: Lean, high-impact team of 12-50 people with deep expertise in data infrastructure and ML research. Emphasis on solving hard problems for enterprise AI. - **Remote/Hybrid/Office**: Hybrid and on-site options depending on role: - San Mateo, CA – On-site (Data Infrastructure Engineer) - London, UK – Hybrid (Forward Deployed Engineer) - Bengaluru, India – On-site (BI Engineer) - **Notable perks**: Not detailed in sources, but working at an early-stage, well-funded AI infrastructure startup with proven founder pedigree and large customer traction offers significant equity upside and ownership. ## Sources 1. [zaimler.ai](https://zaimler.ai/) 2. [jobs.lever.co/zaimler](https://jobs.lever.co/zaimler) 3. [linkedin.com/company/zaimler](https://linkedin.com/company/zaimler) 4. [builtin.com/company/zaimler](https://builtin.com/company/zaimler) 5. [getclera.com/companies/zaimler-ai](https://www.getclera.com/companies/zaimler-ai) ## Other roles at zaimler - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-zaimler-london-bmnf4zwdetry) — London, United Kingdom - [Data Infrastructure Engineer (Query Engine)](https://feeny.ai/job/data-infrastructure-engineer-query-engine-zaimler-san-mateo-0v41r43srxm3) — San Mateo, CA - [BI Integration Engineer](https://feeny.ai/job/bi-integration-engineer-zaimler-bengaluru-e17pw5jbaxff) — Bengaluru, India - [Director of Marketing](https://feeny.ai/job/director-of-marketing-zaimler-san-mateo-nw9fjrradncn) — San Mateo, CA - [Software Engineer in Test](https://feeny.ai/job/software-engineer-in-test-zaimler-bengaluru-vpb8vwf80z2g) — Bengaluru, India - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-zaimler-bengaluru-88fze44c7c21) — Bengaluru, India - [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-zaimler-san-mateo-bakhw51wsntp) — San Mateo, CA - [Backend Engineer](https://feeny.ai/job/backend-engineer-zaimler-bengaluru-ddk4wnsf4vkj) — Bengaluru, India - [Cloud Infrastructure Engineer](https://feeny.ai/job/cloud-infrastructure-engineer-zaimler-bengaluru-hmf5pzhkerg9) — Bengaluru, India - [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-zaimler-san-mateo-vtjvm5effrqe) — San Mateo, CA