Agentic (AI) Native Produce Manager

GreenSky Administrative Services•Atlanta, GA

11d•Hybrid

About The Position

GreenSky is seeking a Senior Product Manager for an AI-Native Pod, based in Alpharetta, Georgia, with a hybrid schedule of three days per week. The role owns a product area end to end within a small, high-velocity team, typically comprising a Product Manager, Tech Lead, and QA Lead. The pod works agentically from product intent through research, design, story generation, coding, and testing. The position reports to the VP of Product and has dotted-line access to the Chief Product Officer. This role emphasizes rapid, hands-on product development using AI tools. The Product Manager turns customer intent into specifications and working clickable prototypes within hours, validates problem statements quickly, and partners closely with the pod to ship products. Success is measured by quarterly outcome metrics and what the pod delivers, rather than by backlog or roadmap volume. The role also helps shape GreenSky’s emerging agentic product operating model, including pod norms, AI tooling standards, reusable context packs, and practices for other pods. The role requires unrestricted work authorization now and in the future; visa sponsorship and sponsorship transfers are unavailable. Compensation is determined by factors including relevant knowledge, skills, experience, and geographic market. The position is eligible for an annual bonus and a comprehensive total rewards package.

Requirements

At least 5 years of product management experience.
At least 2 years owning consumer-facing or merchant-facing product surfaces at a fintech, marketplace, payments, or high-growth software company.
Experience shipping products used by real customers and operators.
Firsthand, daily fluency with AI prototyping and product tools such as Claude, Kiro, Figma, Cursor, Lovable, or equivalents, including personally building and shipping with them; ability to demonstrate this during the interview process.
A strong velocity bias, with the ability to ship product intent in days and iterate by putting near-ready solutions in front of users and stakeholders.
Strong written product skills, including writing PRDs, one-pagers, and decision memos quickly and using AI tools to support the work.
Comfort working in a small pod and prior close collaboration with Tech Leads and QA Leads, with an understanding of each role’s accountabilities.
Fluency with Agile practices such as sprint planning, retrospectives, and story sizing, as well as outcome ownership, continuous discovery, continuous delivery, and empowered product teams.
Strong cross-functional partnership skills, especially with Sales, Risk, Compliance, Legal, Engineering, Design, Data, and Operations.
Understanding of responsible AI practices, including explainability, audit trails, testing, and control evidence.
Strong customer focus and demonstrated ability to translate user needs into simple, high-impact product experiences.
Comfort working in fast-paced environments with changing priorities and iterative delivery expectations.
Experience with experimentation, rapid prototyping, and continuous product discovery methods.
Ability to ensure solutions meet security, privacy, and regulatory expectations for data protection and usage.

Nice To Haves

Prior experience in lending, payments, BNPL, or merchant-acquiring product surfaces.
Direct exposure to regulated environments.

Responsibilities

Use AI tools to turn customer intent into product specifications and working clickable prototypes, communicating product intent through prototypes rather than relying primarily on documents.
Own quarterly outcome metrics and the pod’s progress toward them; focus on shipped work and measurable results rather than backlog or roadmap volume.
Run product discovery, market validation, user research, and spec-to-story conversion at AI-native speed.
Conduct user interviews and synthesize findings into validated problem statements.
Move from validated problems to written, pod-ready specifications in hours or days.
Partner daily with the Tech Lead and QA Lead to size, build, and ship work.
Involve Risk, Compliance, Legal, and other stakeholders during the prototype phase.
Help define and improve GreenSky’s agentic product operating model, including pod norms, AI tooling standards, reusable context packs, and the playbook for other pods.
Engage business users and stakeholders to understand needs, map pain points, and validate solutions through rapid testing and feedback.
Build and manage a business-outcome-driven backlog focused on performance, accuracy, value, and user experience.
Track key performance indicators such as adoption, time saved, quality, accuracy, throughput, and operational risk exceptions.
Participate in change management with operations and sales teams, supporting enablement, communications, and feedback loops.
Ensure solutions meet security, privacy, and regulatory expectations for data protection and usage.
Monitor post-launch outcomes and continuously improve product performance, reliability, and usability; share learnings.