Jobs at Obin AI

Own enterprise financial services accounts end to end, including stakeholder relationships, opportunity qualification, ROI validation, deal scoping, pricing, closing, renewals, expansions, QBRs, and delivery handoffs. Navigate regulated risk, legal, procurement, and security reviews while partnering with presales, engineering, product, and delivery teams. The role requires insurance industry knowledge, quota or renewal ownership, technical fluency, and strong executive communication.

Own the executive relationship, commercial quota, pricing, ROI strategy, and expansion roadmap for a flagship insurance client. Advise C-suite stakeholders, lead steering committees, navigate regulatory and procurement reviews, close enterprise deals, and drive 20%+ annual account growth. Manage and develop Client Partners while coordinating commercial, product, presales, and delivery teams. Represent the insurance vertical in product and go-to-market strategy.

Build and scale production LLM-powered agents and RAG systems for regulated financial institutions. Responsibilities include designing agent orchestration, developing backend APIs and infrastructure, integrating customer data platforms, evaluating system accuracy and reliability, optimizing performance and cost, and shaping reusable AI platform architecture. The role also involves direct customer collaboration, technical decision-making, engineering standards, hiring practices, and roadmap development.

Own and expand Obin's commercial relationships with flagship insurance clients. Run executive workshops to translate strategic goals into scoped initiatives, drive opportunities to signed funded engagements, represent Obin to C-suite stakeholders, and partner with product, engineering, and delivery teams as the internal voice of the client and insurance industry expert.

The role involves managing relationships with institutional clients, driving business growth, and building an engagement playbook while promoting AI solutions within financial services.

Lead end-to-end UX/UI design for AI-first financial products, working with customers, PMs, and engineers. Drive design systems, conduct user research, build prototypes, and champion a high design bar to create intuitive, auditable workflows for regulated institutions.

Lead a team of engineers to build AI platforms for financial services, focusing on best practices, architecture, project delivery, and team growth.

The Full-Stack Engineer will build and scale LLM-based applications, owning technical decisions and ensuring deployment in real customer environments while working directly with the founders and clients in a fast-paced setting.

The Data Scientist will implement, evaluate, and improve LLM-based applications, develop innovative evaluation methods, and streamline investment analytics through AI.

Design and deploy LLM-powered agents, work with clients, maintain production infrastructure, optimize systems, and contribute to platform design.

The Technical Project Manager will oversee project lifecycles, manage client relationships, coordinate cross-functionally, and ensure timely delivery of solutions for enterprise clients in the financial services sector.

The role involves owning customer success by translating needs into product workstreams, driving discovery, delivering solutions, and participating in hands-on deployments, focusing on finance and AI integration.

Lead the founding platform engineering team to build a secure, auditable AI platform for finance. Own scaffolding, tooling, versioning, gated CI/CD, multi-tenant isolation, compliance harness, testing infrastructure, developer SDKs/APIs, and repeatable vendoring so engineers and customers can safely deploy agent workflows under institutional controls.