Top Tech Jobs & Startup Jobs

Manages ETF products across U.S. and UCITS markets throughout their lifecycle, including research, business-case development, launches, conversions, restructurings, governance, monitoring, and closures. Analyzes client demand, competition, economics, regulatory requirements, and operational considerations to recommend product strategies. Coordinates cross-functional stakeholders, prepares management and board materials, improves reporting and controls, and maintains product data and processes.

Provides independent second-line oversight of privacy and third-party risks. Responsibilities include reviewing privacy and third-party assessments, challenging controls and remediation plans, analyzing incidents and risk trends, producing executive reporting, supporting regulatory examinations, maintaining governance documentation, and improving GRC, privacy, TPRM, workflow automation, analytics, and AI-enabled risk technologies. The role partners with Technology, Information Security, Legal, Compliance, Procurement, and business stakeholders in a regulated financial-services environment.

Owns the enterprise Planview platform and portfolio management capabilities, including product vision, roadmap, governance, backlog prioritization, business requirements, reporting, and adoption. Partners with business leaders, technology teams, finance, governance groups, and vendors to improve planning, resource management, investment decisions, and strategic execution. Oversees platform enhancements, data quality, release planning, change management, performance metrics, and executive communications while driving continuous improvement and measurable business value.

Designs, builds, tests, deploys, and scales production-grade AI agents and intelligent systems. Leads technical workstreams, develops agentic workflows, establishes evaluation and monitoring practices, partners with business stakeholders, evaluates emerging AI technologies, mentors engineers, and contributes to reusable engineering patterns. The role requires strong software engineering fundamentals, hands-on AI application development, cloud-native architecture experience, and ownership of complex technical problems through production adoption.

Design, build, and scale production-grade AI agents and intelligent systems. Lead technical workstreams from experimentation through production, develop agentic workflows, establish testing and evaluation for nondeterministic systems, and balance performance, cost, security, and reliability. Partner with product owners and business stakeholders, mentor engineers, conduct design reviews, develop reusable AI engineering patterns, and support deployment, monitoring, and long-term operational adoption.

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.

Two-year CFO Group rotational program for recent undergraduate students, involving four six-month rotations across finance and related corporate functions. Participants may gain experience in FP&A, accounting, tax, finance enablement, strategy, investor relations, and product management. The role develops financial analysis, reporting, process improvement, strategic planning, and communication skills within the asset management industry.

Entry-level software engineering role supporting design, development, testing, debugging, and implementation of applications, systems, databases, and infrastructure. The associate will interpret requirements, recommend technical solutions, implement automated testing, work with data models and schemas, and build software development expertise through mentorship and structured training. Potential focus areas include software engineering, mobile development, cloud computing, operating systems, and machine learning.

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.