Vikingglobalinvestors Technology Product Manager at Viking Global Investors manages delivery of infrastructure and AI platform projects. The role partners with engineers and stakeholders to translate priorities into plans and drive execution.
Responsibilities
Planning and Delivery
Partner with Infrastructure leadership and technical leads to translate priorities into project plans with clear scope and milestones.
Break initiatives into well-scoped work with clear requirements and acceptance criteria.
Track and manage dependencies across Platform Engineering, Core Infrastructure, Networking, Information Security, Software Engineering, and business teams.
Surface risks and slippage early and escalate with recommended options.
Lead team status meetings, including daily stand-ups and sprint planning.
Manage the team’s project portfolio and maintain a current view of in-flight work and upcoming commitments.
AI Platform Delivery
Drive delivery of the firm’s AI platform roadmap, including AI and MCP gateways, model and inference providers, agent and tool integrations, and the citizen-developer environment.
Translate the firm’s AI policies into platform requirements and controls, in partnership with Compliance, Legal, and Information Security.
Agree human-in-the-loop requirements with Compliance before agentic workflows go live.
Track and report AI platform adoption and spend across providers.
Qualification
The ideal candidate will haveHeavy daily use of LLM tools (eExperience in the investment management
Required
The ideal candidate will have:
5+ years of relevant experience working in a technical project, program, or product management role
A bachelor’s degree with a record of academic success
A track record of delivering multi-team technical projects with dependencies and fixed deadlines
Hands-on experience running Agile (Scrum or Kanban) teams and a working knowledge of the software development lifecycle
A working understanding of platform technology, enough to challenge a design review or an estimate, including cloud platforms (AWS and/or Azure), identity and SSO, networking, APIs, CI/CD, and infrastructure-as-code
Heavy daily use of LLM tools (e.g., Claude, ChatGPT, Copilot) and an understanding of core concepts such as models, agents, MCP, and token and cost optimization
Experience with project management and documentation tools (e.g., Jira, Confluence, Smartsheet)
Experience in the investment management, financial services, or another regulated industry preferred
Agile or project management certification (e.g., CSM, PSM, CSPO, PMP) a plus
The following are a plus for candidates interested in the AI governance scope:
Experience building or running an AI governance or technology-controls program (e.g., AI inventories, vendor intake, control testing, and audit evidence)