{"schemaVersion":"jobsearcher.job.v1","id":"ea0b12a74a5966513b5aca33","url":"https://jobsearcher.com/jobs/ea0b12a74a5966513b5aca33","canonicalUrl":"https://jobsearcher.com/jobs/ea0b12a74a5966513b5aca33","title":"Forward Deployed Engineer","description":"About the FirmThe firm is an early-stage company building AI and data infrastructure for financial services. It pulls the disparate, siloed data across a financial institution into a single, continuously synced warehouse, then builds automations on top of it — delivered through a permission-aware interface with live dashboards, CRM-style functionality, and an embedded AI chat layer. It works with clients in two ways: firmwide implementations that stand up and maintain a firm's entire data and automation infrastructure, and focused engagements that solve for a single team such as investor relations, finance, or the investment group. Founded by a small team with backgrounds building data and engineering infrastructure at leading investment and technology firms, it has grown a client base across a range of financial institutions while expanding its team selectively.The RoleThe Forward Deployed Engineer owns client work end to end: sitting down with a client to understand their business, identifying which data sources are authoritative, consolidating them into a maintained warehouse, and building the automations, reporting, and AI workflows they depend on. It's hands-on and detailed, from general-ledger and transaction-level records through to the dashboards clients use every day, in an environment where there's little tolerance for error. You'll engage stakeholders directly, learn how their business actually works, and turn that into durable, reusable solutions. This is an early, high-ownership seat with broad exposure across clients and the evolving platform.Key ResponsibilitiesImplement the firm's data and automation infrastructure for clients, from onboarding through ongoing maintenanceMap a client's data sources and consolidate them into a continuously synced warehouseBuild the automations, dashboards, and reporting that surface client data through the platformDevelop AI-driven workflows, such as automated document completion and natural-language data retrievalWork through source data in detail to ensure accuracyEngage client stakeholders directly and deliver solutions they can rely onTurn implementation work into reusable features and methods that make future engagements fasterRequirementsExperience in a technical, data-oriented role in financial services, such as fund or client services, middle-office analytics, or business-unit reporting and operationsStrong facility with data and analytical tools, including spreadsheets, plus SQL (or the ability to learn it quickly)A track record of solving technical problems independently and teaching yourself new tools and domainsThe presence to engage stakeholders as a peer, not from a purely supporting postureHigh attention to detail, sharp intellectual curiosity, and a strong work ethicComfort in an early-stage environment with broad responsibilities and limited structure","company":"Data Infrastructure Analytics","rawCompany":"data infrastructure analytics","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-03T10:23:03.026Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer","description":"About the FirmThe firm is an early-stage company building AI and data infrastructure for financial services. It pulls the disparate, siloed data across a financial institution into a single, continuously synced warehouse, then builds automations on top of it — delivered through a permission-aware interface with live dashboards, CRM-style functionality, and an embedded AI chat layer. It works with clients in two ways: firmwide implementations that stand up and maintain a firm's entire data and automation infrastructure, and focused engagements that solve for a single team such as investor relations, finance, or the investment group. Founded by a small team with backgrounds building data and engineering infrastructure at leading investment and technology firms, it has grown a client base across a range of financial institutions while expanding its team selectively.The RoleThe Forward Deployed Engineer owns client work end to end: sitting down with a client to understand their business, identifying which data sources are authoritative, consolidating them into a maintained warehouse, and building the automations, reporting, and AI workflows they depend on. It's hands-on and detailed, from general-ledger and transaction-level records through to the dashboards clients use every day, in an environment where there's little tolerance for error. You'll engage stakeholders directly, learn how their business actually works, and turn that into durable, reusable solutions. This is an early, high-ownership seat with broad exposure across clients and the evolving platform.Key ResponsibilitiesImplement the firm's data and automation infrastructure for clients, from onboarding through ongoing maintenanceMap a client's data sources and consolidate them into a continuously synced warehouseBuild the automations, dashboards, and reporting that surface client data through the platformDevelop AI-driven workflows, such as automated document completion and natural-language data retrievalWork through source data in detail to ensure accuracyEngage client stakeholders directly and deliver solutions they can rely onTurn implementation work into reusable features and methods that make future engagements fasterRequirementsExperience in a technical, data-oriented role in financial services, such as fund or client services, middle-office analytics, or business-unit reporting and operationsStrong facility with data and analytical tools, including spreadsheets, plus SQL (or the ability to learn it quickly)A track record of solving technical problems independently and teaching yourself new tools and domainsThe presence to engage stakeholders as a peer, not from a purely supporting postureHigh attention to detail, sharp intellectual curiosity, and a strong work ethicComfort in an early-stage environment with broad responsibilities and limited structure","datePosted":"2026-09-03T10:23:03.026Z","dateModified":"2026-09-03T10:23:03.026Z","hiringOrganization":{"@type":"Organization","name":"Data Infrastructure Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ea0b12a74a5966513b5aca33"},"url":"https://jobsearcher.com/jobs/ea0b12a74a5966513b5aca33"}}