You'll own the search and information retrieval systems at the core of Firecrawl , the infrastructure that determines how we find, rank, index, and serve web content at scale. Retrieval quality is Firecrawl's deepest moat. As AI agents increasingly depend on multi-step search and enrichment, the gap between good retrieval and great retrieval compounds. You're the person who closes that gap , and widens it against every competitor. This is a full-stack search role where you'll build and operate everything from ingestion pipelines to serving layers. If you've built search indexes at massive scale and care deeply about ranking quality, freshness, and retrieval speed, this is the role.
\nYou'll design, build, and maintain the indexing infrastructure that powers Firecrawl's core product. You'll handle billions of documents and care about every millisecond of latency and every byte of storage. You'll own the full stack from ingestion to serving. You don't just build one piece , you own the entire pipeline. Ingestion, processing, indexing, ranking, query understanding, and serving. When something breaks at 3am, you know where to look because you built it.
\nYou'll make sure the right content surfaces for the right queries. You'll build and iterate on ranking models, relevance scoring, and query parsing systems that directly impact product quality. You'll tackle freshness, dedup, and incremental indexing. The web changes constantly. You'll build systems that keep our index fresh without re-crawling everything, deduplicate content intelligently, and handle incremental updates at scale without rebuilding from scratch.
\nYou'll run experiments and ship results to production. You design experiments, measure results rigorously, and ship winners to production fast. You don't need someone to tell you what to try next , you have a backlog of ideas and the judgment to prioritize them.
\nYou'll collaborate closely with the team. Work directly with the RL-focused Research Engineer and the engineering team to connect search/IR improvements with model training and the broader product roadmap.
\nXML job scraping automation by YubHub
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\nReporting to the Head of Customer Success & Delivery, this role will own how customers integrate with the Zus platform. They’ll be responsible for ensuring healthcare organisations and digital health builders can reliably ingest data, connect EHR systems, and deploy applications powered by Zus APIs.
\nThis leader will oversee teams responsible for forward deployment engineering, and technical enablement, working closely with customer engineering teams to integrate Zus into production environments and connect to data networks.
\nYou will guide customers through the complexity of healthcare interoperability, helping them translate real-world workflows into scalable integrations built on Zus.
\nThis is a hands-on player-coach role. You will lead the team while also personally engaging in complex implementations, architecture discussions, and customer deployments.
\nYou will champion the use of AI tools, automation frameworks, and reusable integration patterns to dramatically improve how quickly and reliably customers connect to the Zus platform.
\nThe ideal candidate combines deep experience in healthcare interoperability, enterprise software implementations, API platforms, and AI-enabled engineering workflows with the leadership skills required to scale a delivery organisation.
\nKey responsibilities:
\nAct as player-coach for complex implementations - Personally engage on strategic or technically complex customer deployments
\nGuide integrations involving FHIR, HL7, CCD, APIs, SFTP pipelines, and EHR platforms
\nTroubleshoot complex interoperability and data pipeline issues
\nWork directly with engineering teams to deploy and operationalize Zus products
\nServe as a trusted technical advisor to customer technical and operational stakeholders
\nDrive forward deployed engineering - Support customers in building production-grade applications and workflows on top of Zus APIs
\nHelp customers operationalize clinical and operational data across care delivery workflows
\nLead the development of reference architectures and deployment patterns
\nIdentify integration opportunities that accelerate product adoption and expansion
\nDelivery training and technical enablement - Oversee technical onboarding and training programs for new customers
\nEnable customer engineering and product teams to effectively build on the Zus platform
\nDevelop documentation, workshops, and enablement resources for technical users
\nDrive AI-enabled implementation and automation - Lead the adoption of AI tools and automation frameworks across the delivery organisation
\nIdentify opportunities to automate manual implementation work using LLMs, scripting, and developer tooling
\nDevelop reusable automation patterns for all parts of the Zus ecosystem
\nHelp customers leverage Zus data to power AI-enabled workflows and analytics applications
\nPartner with Product and Engineering - Translate customer implementation patterns into platform improvement
\nParticipate in technical discussions to find reusable integration patterns that can be embedded directly into the Zus platform
\nCommunicate customer needs to the Product & Engineering teams
\nYou're a good fit because you have:
\nAdditional Information:
\nWe will offer you...
\nXML job scraping automation by YubHub
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