Brainco AI Deployment Lead at Brainco responsible for end-to-end delivery of AI solutions for financial services clients. This role leads cross-functional teams and drives adoption of AI workflows in asset management and financial institutions.
Responsibilities
Brain Co. builds applied AI products for enterprises. We’re building our AI Deployment team in San Francisco, with a focus on financial-services clients across the U.S. You’ll work at the intersection of AI product delivery and client engagement, helping define, shape, and deliver solutions for asset managers, investors, lenders and other financial institutions.
You’ll own the end-to-end delivery of your engagements: leading the team, building client relationships, and turning deployed AI into adopted, durable workflows. You’ll be accountable for program execution and measurable customer value, and help grow each account by earning trust and identifying the next valuable problem to solve.
You’ll partner with engineers, product managers, designers, and senior client stakeholders to translate complex business needs into working products. This is a hands-on leadership role: you’ll stay close to users, make scope decisions, and use AI tools and prototypes to move the work forward.
Core responsibilities
Lead end-to-end delivery: coordinate the cross-functional team from discovery through production and sustained use. Set priorities, run delivery cycles, manage dependencies and risks, and keep the client and team aligned on commitments.
Define what to build: work with practitioners and sponsors to understand the workflow, prioritize valuable problems, and translate requirements into clear product specifications and acceptance criteria. Decide what to build, defer, or stop.
Drive adoption and change: build relationships with users, win over skeptical stakeholders, and lead the people-and-process changes required for new ways of working to take hold. Use direct feedback to improve the product and verify sustained use.
Deliver measurable value: agree outcomes and a baseline with the client. Track whether the deployment improves the work, surface risks early, and address quality or adoption problems after launch.
Grow the account: own the day-to-day client relationship, communicate with senior sponsors, and connect delivered results to new opportunities. Partner with commercial colleagues on expansion proposals and commitments.
Improve the next deployment: build or adapt prototypes, test consequential AI output, and work with engineers on technical trade-offs. Partner with product managers to turn recurring customer needs into reusable capabilities and implementation practices.
What you’ll bring
Delivery ownership: a track record of owning complex enterprise programs through production and adoption, with clear examples of your own decisions and results.
