--- title: 'Senior Software Engineer, Data at Old Well Labs' canonical: 'https://feeny.ai/job/senior-software-engineer-data-old-well-labs-charlotte-syfb5sdt2rqj' type: 'job' last_seen: '2026-09-07' --- # Senior Software Engineer, Data at Old Well Labs - **Company:** Old Well Labs - **Location:** Charlotte, NC - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-05-03 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/old-well-labs/4161104b-f494-432f-aeb9-d652bf1f65a8 ## Job description ## ABOUT OWL Old Well Labs is a Charlotte-based financial intelligence startup used by leading allocators and the fund managers they invest with. Our platform turns billions of disclosures into structured data that makes it easy for those in the investment ecosystem to find, monitor, and connect with one another. ## ABOUT THE ROLE We’re hiring an Engineer to define and build systems that make our data usable across the company. This role will own the architecture for how data is processed, enriched, and operationalized. You'll build agent systems that collect data across the web and extract structured information, the queues and pipelines that route that data through human-in-the-loop review, and the admin tooling that lets our data ops team work efficiently. You'll work heavily on the data infrastructure underneath (e.g., SQS, dbt, Step Functions, Lambda) to make it all fast and reliable. We're big proponents of using AI to do our best work, and this role is the most direct expression of that. Every workflow you build helps remove manual work or makes us faster at it. If you have an idea for a new tool, agent, or pipeline, you will be able to own and push that idea forward. ## WHAT YOU’LL DO Build AI Agents That Collect and Extract Data Design and ship agent workflows that collect data from across the web, extract structured information, and build it into our app. Design Data Pipelines and Event-Driven Systems Own how data flows from collection through processing to the platform. Work across SQS, dbt, Step Functions, Lambda, Athena, and S3 to evolve the architecture as volume and complexity grow. Build Admin Tooling for Data Operations Ship the human-in-the-loop interfaces, dashboards, and internal tools our operations team uses every day. Move Quickly in a Small, Senior Team Operate with high ownership in a small engineering team. Take problems from ambiguous requirements through design, implementation, and production, with the autonomy to make the calls that ship the work. ## WHAT WE’RE LOOKING FOR - 5+ years of backend, platform, or systems engineering experience - Strong Python and system design expertise - Experience with distributed and event-driven systems - Hands-on experience with data pipeline tools (dbt, Airflow, or comparable) - Experience defining architecture across multiple systems - Practical experience applying AI in production systems - Ability to operate with high ownership in ambiguous environments ## LOCATION Charlotte (Hybrid: Tuesday–Thursday in office) ## COMPENSATION - Competitive salary + equity ## BENEFITS - 100% medical, dental & vision coverage - 401k - Flexible PTO - Parental leave - Office in South End - Bagel Thursdays ## About Old Well Labs ## Company Overview - **One-liner**: Old Well Labs (OWL) provides an AI-powered platform that helps institutional investors (allocators) and fund managers find, monitor, and connect with each other using billions of structured data points. - **Entity Type**: Private (Series A‑II) - **Headquarters**: Charlotte, North Carolina, USA - **Founded**: 2022 - **Founders**: Campbell Wilson (CEO), Zak May (CTO), Megan White (COO), Grant Carney (CPO) ## Core Business - **Primary industry**: Financial technology (institutional investment intelligence) - **Target customers**: B2B – endowments, foundations, OCIOs, family offices, pensions, sovereign wealth funds, and fund managers - **Mission/purpose**: Bring transparency, speed, and intelligence to the relationship between allocators and fund managers – powered by AI ## Products & Services - **OWL Platform (SaaS)**: A single, comprehensive database of 15,000+ funds and 1.4 million individual profiles. Features include AI‑powered alerts (performance, team changes, portfolio moves, disciplinary data), manager/allocator search, document monitoring, and direct connection facilitation. ## Market Standing - **Valuation**: Not publicly disclosed - **Key metric**: Total funding raised – $3.7M (as of February 2026) - **Notable investors/partners**: Nellore Capital (lead), Capital Allocators, Teamworthy Ventures, Hammoud Ventures, TFJ Capital - **Growth signals**: Oversubscribed Series A‑II round (Feb 2026); used by leading institutions such as Makena Capital, Pathstone, GEM Investments, DUMAC, Vanderbilt University, East Rock Capital, Star Magnolia, Investure, HF Capital, Virginia Tech; team growing in Charlotte with experience from Duke’s investment office, GEM, Goldman Sachs, Bain, Federal Reserve, Google, Amazon. ## Competitive Advantages - Built by former allocators and managers – deep domain expertise in institutional investing - AI‑driven aggregation of billions of public disclosures into structured, searchable intelligence - Comprehensive coverage: 1.4M individual profiles, 15,000+ funds, real‑time alerts on performance, team moves, and business changes - Already embedded in the daily workflow of many of the most sophisticated institutional investors ## Strategic Focus - Continued platform innovation and deeper data coverage - Expanding the curated manager community (invitation‑based with an application option) - Growing the Charlotte‑based team across engineering, data operations, and sales ## Why Work Here - **Culture**: “Thinkers, builders, and problem‑solvers” committed to making a lasting impact in institutional investing - **Team**: Cross‑functional experience from investment management, consulting, and tech (former allocators, engineers from Amazon/Google, etc.) - **Work environment**: Charlotte, NC office (1910 South Boulevard); remote/hybrid policy not publicly disclosed - **Notable perks**: Not detailed, but the company emphasizes purpose‑driven work, fast iteration, and direct impact on how capital is allocated globally ## Sources 1. [oldwell-labs.com](https://www.oldwell-labs.com/) 2. [oldwell-labs.com/careers](https://www.oldwell-labs.com/careers) 3. [cbinsights.com](https://www.cbinsights.com/company/old-well-labs) 4. [businesswire.com (via CBInsights)](https://www.businesswire.com/news/home/20260226090484/en/) 5. 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