--- title: 'Data Infrastructure Engineer (Query Engine) at zaimler' canonical: 'https://feeny.ai/job/data-infrastructure-engineer-query-engine-zaimler-san-mateo-0v41r43srxm3' type: 'job' last_seen: '2026-09-08' --- # Data Infrastructure Engineer (Query Engine) at zaimler - **Company:** zaimler - **Location:** San Mateo, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-13 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/zaimler/28868c70-2d24-4446-9d9f-fa89f0649b02 ## Job description ## About zaimler zaimler is building the next-generation semantic platform that links fragmented enterprise data and extracts meaning with knowledge-distilled models. We’re creating the foundation for AI systems that don’t just generate, but retrieve, link, and reason over enterprise knowledge. In just over a year, we’ve begun partnering with Fortune 500 design partners in insurance, travel, and technology, deploying our semantic platform into some of the world’s most complex and high-volume data ecosystems. Our platform enables enterprises to make their data AI-ready from the start: automating ontology creation, data mapping, and retrieval-augmented reasoning at scale. Our team comes from LinkedIn, Visa, Meta, and Branch, and has spent decades solving data and infrastructure challenges at scale. Backed by top VCs, we’re building the next foundational layer for enterprise AI. ## What You’ll Do zaimler's query engine powers graph-native queries across a two-layer system: an internal storage and indexing layer, and a pass-through layer that queries live into customer data platforms like Snowflake and Databricks. You'll work across the engine's coordinator, compiler, and executor, extending language and function support, and helping build queries that reason across multiple data sources at once. ## What You'll Own - Extend the query engine's language and function support over time - Help build cross-source query capabilities: answering questions that span multiple data sources in a single query - Work on the storage and indexing layer that the query engine runs against - Build and maintain the layer that queries live into external systems like Snowflake and Databricks - Work directly in the engine's core components: coordinator, compiler, executor Prior Experience - Strong database fundamentals: you understand consistency models, transactions, and how storage layers actually work under the hood, not just how to query one - Experience running systems at real production scale, where naive approaches start to break down - A systems mindset: background in OS, file systems, distributed systems, or database internals, from industry or research - Ability to work from ambiguous, evolving problems rather than fully scoped tickets - A bias toward hands-on execution over pure architecture or process ownership ## Nice to Have - Experience with graph query languages (e.g. Cypher) - API development experience - Background at a data intensive company or research lab - Prior experience at an early-stage startup, developing systems and processes from scratch. Why Join Us? We’re a fast-moving, well-funded startup based in San Mateo, working onsite with flexible hours because the best ideas happen when smart people collaborate in person. We take ownership of our work, move with urgency while maintaining quality, and focus on delivering real results—not just effort. We offer competitive compensation, equity, full benefits (Medical, Dental, Vision, 401k), and a workspace built for collaboration, transparency, and deep technical problem-solving. We sponsor H-1B visas and assist with immigration processes to bring the best minds together! ## 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 - [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 - [Head of Product](https://feeny.ai/job/head-of-product-zaimler-san-mateo-fm34fzygn69c) — 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