AI-Native Product Delivery Lead

About T. Rowe Price At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Role Summary We’re looking for an experienced, hands‑on leader to help shape how AI‑enabled product and software delivery evolves across the organization. In this role, you’ll design and scale agentic workflows that improve how products move from business intent to production. This is not a traditional program management or agile delivery role. We’re seeking someone who has directly built and operated AI‑enabled delivery systems and can apply that experience to modernize how teams work. Responsibilities Lead AI‑Native Product Delivery – Own delivery across one or more product areas, partnering with product, design, engineering, and business stakeholders. Translate business intent into structured requirements, specifications, and release‑ready deliverables. Deliver outcomes aligned to product roadmaps and stakeholder needs while maintaining delivery discipline with a focus on evolving delivery systems using AI. Design and Build Agentic AI Delivery Workflows – Design, build, and operationalize multi‑step agentic workflows that improve backlog refinement, story generation, acceptance criteria development, design‑to‑engineering handoffs, engineering readiness, and release execution. Develop reusable assets such as prompt and context libraries, agent instructions and workflow templates, and structured spec standards and validation frameworks. Implement and improve feedback loops, evaluation mechanisms, human‑in‑the‑loop validation, quality control, workflow optimization, and performance tuning. Modernize product, design, and engineering handoffs by establishing spec‑driven practices and connecting tools (Jira, Confluence, Figma, AI tooling) into repeatable delivery pipelines. Drive AI‑Enabled Delivery Transformation – Identify and apply AI to change how delivery works, not just accelerate it. Pilot, evaluate, and scale AI‑enabled delivery practices. Assess emerging tools and frameworks for practical application. Partner across product, engineering, and business teams to collaborate with mobile engineering (iOS/Android), product leaders, and stakeholders. Communicate clearly with both technical and business audiences and align delivery execution to business outcomes and product priorities. What You Are You’re curious about how AI is changing software delivery and motivated by improving how products move from concept to production. You’re comfortable partnering with engineering teams while staying grounded in product outcomes, customer value, and business impact. You’re a builder, not just a coordinator. You can clearly describe systems, workflows, or practices you’ve personally designed, implemented, and improved. You likely bring many of the following strengths: Strong product ownership instincts Technical fluency and credibility with engineering teams Experience building or implementing AI‑enabled or agentic workflows Ability to translate ambiguous business needs into structured requirements, specifications, and workflows Understanding of validation, governance, and human oversight in AI‑enabled systems Capability to build new practices from zero and iterate based on results Operational effectiveness in both strategic and hands‑on execution contexts Maker mindset and experimentation with new tools and approaches Strong product judgment for client‑facing digital or mobile experiences Help teams maintain a healthy, outcome‑oriented backlog that connects roadmap priorities, client value, delivery confidence, dependencies, and “next best dollar” tradeoffs Establish traceability and audit trails across AI‑assisted outputs, human review decisions, specification changes, release readiness, and post‑release learning Tools and Ways of Working AI coding assistants (e.g., Claude, Code or similar) Spec‑driven development workflows (e.g., Kiro, GitHub‑style workflows) Agentic workflows, including multi‑agent or orchestrated systems Prompt engineering and reusable context design Context engineering and structured specification design Jira, Confluence, Figma, and modern delivery tooling Design‑to‑code and engineering‑ready handoff workflows Product‑agent workflows (story generation, backlog refinement, validation) Native mobile delivery (iOS and Android) Feedback loops, evaluation frameworks, and workflow optimization Human‑in‑the‑loop governance and quality control Qualifications Required Bachelor’s degree or equivalent experience in a relevant field 8+ years of experience in product delivery, product ownership, or related roles Proven ability to lead delivery across cross‑functional teams Hands‑on experience designing, building, or operating AI‑enabled or agentic workflows in a real‑world environment Strong ability to translate business needs into structured requirements and delivery plans Write high‑quality user stories, acceptance criteria, and specifications Drive outcomes across product, design, and engineering teams Technical fluency in modern software delivery (APIs, specs, testing, release processes) Experience using AI to improve delivery systems, not just individual tasks Excellent communication skills and ability to present to stakeholders and leadership Comfortable operating in ambiguity and evolving environments Preferred Experience designing or scaling agentic workflows, prompt libraries, or context repositories Experience with spec‑driven development and AI‑assisted coding workflows Experience working with mobile engineering teams Experience improving delivery, product operations, or workflow systems at scale Experience in regulated environments (e.g., financial services) Familiarity with governance, risk, and compliance considerations for AI systems Base Salary Ranges Please review the job posting for the location of this specific opportunity. $122,000.00 - $209,000.00 for Maryland, Colorado, Washington and remote workers. $135,000.00 - $230,000.00 for Washington, D.C. $153,000.00 - $261,000.00 for New York, California. Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance. Benefits Competitive compensation Annual bonus eligibility Generous retirement plan Hybrid work schedule Health and wellness benefits, including online therapy Paid time off for vacation, illness, medical appointments, and volunteering days Family care resources, including fertility and adoption benefits EEO Statement T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law. #J-18808-Ljbffr SwiftCruit