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Glia
Tallinn; Tartu
Source: Glia careers · View original posting
From Glia's posting. “We” and “our” refer to the employer.
Glia is the #1 Banking AI platform, empowering community and regional financial institutions to create efficiencies, accelerate loan growth, drive deposits, and deliver experiences that win against megabanks and fintechs.
Glia's Banking AI Operating System is a central intelligence layer on top of existing tech stacks, activating an AI workforce of specialized agents that draw from banking data, interaction history, and integrated systems of record. These banking-trained agents automate workflows across voice and digital–from front office to back office–resulting in decreased operational costs and the Universal Banker model.
Trusted by 700+ banks and credit unions for its ironclad security and reliability, Glia delivers the industry’s first contractual no-hallucination guarantee. It’s why Glia customers quickly and confidently put Banking AI to work with measurable results from day one. More information about Glia can be found at glia.com.
The Mission and The Work
This role is for a deeply technical engineer ready to multiply their impact through leadership without losing their hands-on edge. You will lead the Nexus team, shaping the systems and features that orchestrate interactions—specifically text-based connectors and data flow—across Glia.
You will manage a distributed, 6-person team of staff, senior, and entry-to-mid-level engineers operating across Tartu, Estonia, and Poland (EET/EEST). You'll work alongside some of Glia's earliest engineers, the people who built these systems and still run them.
The Ramp-Up (First 3 Months)
Once you step up, your time will shift to ~60% leadership and ~40% hands-on coding
. You will own:
Translate ambiguous goals into prioritized work, unblock the team, set the technical direction, and drive long-term architectural decisions.
Run 1:1s, manage performance, and coach project leads to sharpen their communication and decision-making.
Establish workflows for AI-assisted coding, setting the review standards and guardrails so the team's output scales without compromising quality.
Lead by example by staying close to the code and taking on high-leverage technical work.
Our tech stack
AWS
DataDog
Jenkins, Argo CD
Gemini, CoPilot, Claude Code
Terraform
Kafka, GitHub, Kubernetes, Docker
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