Why Casca?
Casca is building AGI for banking. We’re replacing decades-old legacy systems with AI-native technology that automates 90% of the manual work humans once had to do.
The Mission
Casca was founded by a team of Banking IT experts and AI researchers from Stanford University, Georgia Tech, and Goldman Sachs who believe that the future of banking is AI-native. Backed by Canapi, Y Combinator and top 100 US Banks, we're revolutionizing the $7T lending industry through GenAI systems - replacing the lending software banks have relied on for 30 years
This is your chance to be inside the room when America's biggest banks switch from legacy to AI. Loan processes that took months will take minutes — and you'll be the one making it happen. Join us in building something unprecedented.
What you'll do
As a Deployment Specialist, you will help translate ambitious AI capabilities into production systems inside major U.S. banks — connecting business goals, technical design, and regulatory requirements to ensure bold ideas become reality. From initial planning through testing and launch, you'll bring order to complexity, drive clarity across stakeholder groups, and keep critical milestones on track. You'll be the voice of the client in day-to-day execution: getting embedded with client teams, understanding their workflows and constraints, and turning that into clear decisions for Casca.
Ship the Product
Deploy Casca's AI loan origination platform inside Tier 1 banks — you're on the ground when legacy systems that took decades to build get replaced in months
Drive technical delivery alongside Casca's engineering team: core banking integrations, API specifications, data mapping, environment setup — you're not coordinating from afar, you're in it
Own the project cadence — leading standups, tracking progress, testing software — you're the person who knows where every workstream actually stands
Flag slippage early, and surface risks before they compound
Evolve the Product
Gather and synthesize product requirements directly from bank users — understand how they work, what they expect, and where current capabilities fall short
Translate client needs into actionable feature requests, user stories, and prioritized input for Product and engineering
Surface edge cases and integration friction that only emerge in live deployments — your perspective shapes what gets built next
Be the Expert
Become the ground truth on your bank — their systems, data models, compliance requirements, and internal dynamics
Build deep domain knowledge in banking and lending — understand the regulatory, legacy, and organizational landscape well enough to anticipate problems before they surface
Own the Client Relationship
Earn buy-in at the working level — VPs, Directors, and team leads. Become the person the bank's working team calls when something's off — you're Casca's credibility on the ground
Make Casca's AI make sense to the people who have to live with it. Train & enable client teams so they can understand what Casca's platform does and trust what it delivers
What you bring
2+ years management consulting experience at a leading firm (McKinsey, Bain, BCG, etc.) technical program management, or implementation/deployment experience at a top tech company or high-growth start-up
Comfortable running workstreams, structuring ambiguous requirements, and driving day-to-day coordination across technical and non-technical teams
Have worked in detail-heavy, multi-stakeholder environments and were the person people came to when things got stuck
Eager to build deep domain expertise in banking and AI
Outstanding communication and presentation abilities
Bonus points:
Background in fintech or lending industry
Experience with AI-related projects
Previous experience at a high-growth startup
MBA from a top-tier program
What you'll get:
Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.
Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.
Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.
Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.
Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.
As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation.