Applied AI Team Lead

Nymbus, Inc.

1d•Remote

About The Position

Nymbus (https://nymbus.com/) isn’t just a leader in fintech; we’re a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel. Here, you won’t just be part of a tech revolution. You’ll be at the helm, driving change. You’ll fit right in if you’re a creative thinker who’s eager to reduce technical debt and increase agility for banks and credit unions. Our culture thrives on collaboration, integrity, and a client-first approach. We operate with an AI-first mindset across all aspects of our business, continuously improving our efficiency and increasing the value we deliver to clients. We’re looking for individuals who are intensely curious about emerging technologies and passionate about innovation. Your journey with us won’t simply advance your career; it will offer the chance to help shape an industry alongside like-minded professionals. We’re excited to consider you a key player in this transformative chapter. Thank you for considering a role with Nymbus. The Applied AI Team Lead is the leader of the Applied AI Analyst practice, responsible for ensuring the team operates effectively, delivers impact, and scales consistently across the enterprise. This is a player-coach role—balancing individual contribution with leadership of the analyst cohort under the direction of the CEO. This role holds coordinative leadership (not formal people management), guiding how Applied AI Analysts work, collaborate, and deliver value. The Team Lead ensures alignment, removes friction, and acts as the CEO’s early warning system across all AI analyst initiatives. Coordination and leadership responsibilities should consume no more than 30–40% of their time.

Requirements

8 - 12 years relevant experience
A natural team leader and integrator—someone others gravitate toward for direction and clarity
Comfortable leading high-performing, peer-level talent without relying on formal authority
Strong operator with the ability to maintain structure, cadence, and follow-through
Able to quickly distinguish between technical blockers and organizational resistance
Intellectually secure, collaborative, and focused on elevating overall team performance
Experienced enough to navigate cross-functional dynamics and executive expectations

Responsibilities

Leads the Applied AI Analyst practice, ensuring consistent quality, impact, and ways of working across all analysts
Runs the weekly Applied AI Practice sync—focused on surfacing cross-functional insights and connections, not just status updates
Maintains and evolves the shared toolkit: prompt libraries, problem framing templates, output standards, and AI tool configurations
Acts as the CEO’s early signal system, identifying when analysts are blocked, workstreams drift, or timelines are at risk
Removes cross-functional blockers that do not require CEO intervention (tools, data access, coordination)
Guides and supports analysts in structuring problems, prioritizing work, and delivering high-quality outputs
Owns onboarding for new analysts, including tools, methods, and practice norms
Manages logistics and documentation for all related projects