Top Tech Jobs & Startup Jobs

Leads financial planning, budgeting, forecasting, reporting, modeling, and performance analysis for Investments and Product organizations. Partners with senior leaders on business cases, investment opportunities, cost savings, scenario analysis, and resource allocation. Presents executive-level financial insights, improves reporting processes and data integrity, and coaches analysts while driving financial excellence.

Leads the architecture, development, deployment, and scaling of production-grade AI agents and intelligent systems. Sets technical direction, establishes AI engineering standards, evaluates emerging technologies, and develops reusable platforms for orchestration, retrieval, evaluation, observability, and guardrails. Partners with business and technology stakeholders to translate ambiguous needs into scalable solutions, mentors engineers, conducts design and code reviews, and guides products from experimentation through production adoption.

The Associate Sales Consultant at T. Rowe Price services participant requests, provides retirement strategy insights, refers high-value clients to Financial Consultants, and achieves sales targets while educating clients on financial options.

Owns retail client data products and priorities, translating business needs into requirements and prioritized backlogs. Partners with business, technology, analytics, operations, and risk teams to deliver trusted, governed, high-quality data capabilities. Leads discovery, delivery, UAT, adoption, data quality remediation, and continuous improvement while managing dependencies and trade-offs. Defines success metrics, ensures governance and controls, and supports stakeholder decision-making. Provides guidance and mentoring to less experienced associates.

Provides investment, retirement planning, and financial guidance to individual investors or workplace retirement participants. Builds client relationships, answers account and investment questions, educates clients on products and services, identifies referral opportunities, and supports relationship growth. The role includes structured training and paid study time for FINRA Series 7 and Series 66 licensing.

Leads two multidisciplinary Applied AI Implementation Pods that redesign business workflows using approved AI capabilities. The role selects high-value engagements, drives rapid execution from workflow analysis through launch, removes cross-functional blockers, develops team members, establishes repeatable delivery practices, and measures adoption and business impact. Success requires strong generative AI knowledge, transformation leadership, pragmatic decision-making, and the ability to partner with senior leaders and frontline teams in a regulated environment.

Leads AI-enabled transformations across Global Distribution, from identifying high-value business and client opportunities through product strategy, roadmap development, delivery, organizational change, adoption, and measurable value realization. Partners with business, technology, data, design, risk, legal, and compliance stakeholders to create AI-native products and workflows while managing trade-offs, governance, technical decisions, and enterprise readiness.

Lead AI adoption initiatives by understanding user needs, identifying barriers, preparing employees through practical guidance and learning, supporting launch, and measuring sustained workflow adoption. Partner with business leaders, managers, and implementation teams to embed AI-enabled processes into daily operations. Establish ownership, procedures, feedback mechanisms, and adoption metrics while sharing reusable change-management practices.

Leads the strategy, lifecycle, governance, adoption, and scaling of reusable AI solutions built by Global Distribution associates. The role identifies high-value use cases, improves and validates AI capabilities, manages the enterprise AI ecosystem roadmap, establishes responsible-use guardrails, and builds an internal community of AI creators and power users. It also translates emerging AI developments into practical business opportunities and partners with technology, data, risk, legal, compliance, and platform teams.

Leads AI adoption and capability building across Global Distribution by developing role-based learning pathways, enabling platform launches, managing an AI Champions Network, and coordinating communities of practice. The role creates learning experiences, manager enablement, communications, and practical use-case showcases while measuring adoption, proficiency, engagement, and learning effectiveness. It partners with AI, technology, product, HR, and enterprise learning teams to drive sustained behavior change and responsible, effective use of generative AI.