Technology Product Manager (Platform/Infrastructure)

Viking Global Investors•Stamford, NY

About The Position

The Technology Product Manager is part of Viking Global Investors’ Infrastructure team, which includes Platform Engineering and Core Infrastructure. The role is primarily responsible for predictable delivery of infrastructure and platform initiatives, with a particular focus on the firm’s AI platform, including gateways, model providers, tool integrations, and the citizen-developer environment. The Product Manager partners with engineers and technical leads to translate priorities into plans, manages project teams through delivery, and keeps stakeholders informed. The position requires a working understanding of infrastructure and AI technology, strong organizational and communication skills, and contributions to firm-wide AI governance through the implementation and maintenance of platform controls across providers such as Anthropic and OpenAI. The role drives delivery of the AI platform roadmap and coordinates work across infrastructure, engineering, security, compliance, legal, business, and research teams. It maintains project plans, status communications, documentation, AI inventories, and audit-ready evidence, while helping ensure platform controls and firm change-management and SDLC practices are followed.

Requirements

At least 5 years of relevant experience in a technical project, program, or product management role.
A bachelor’s degree and a record of academic success.
Track record of delivering multi-team technical projects with dependencies and fixed deadlines.
Hands-on experience running Agile (Scrum or Kanban) teams and working knowledge of the software development lifecycle.
Working understanding of platform technology sufficient to challenge a design review or 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 such as Claude, ChatGPT, or Copilot, and understanding of core concepts such as models, agents, MCP, and token and cost optimization.
Experience with project management and documentation tools such as Jira, Confluence, or Smartsheet.
Proactive communication and excellent written and verbal communication skills, with the ability to tailor messaging and technical detail to different audiences.
Technical grounding and comfort in engineering conversations, with enough platform knowledge to be a credible partner to engineers.
Process and detail orientation, ability to manage multiple competing priorities, and strong organizational skills.
Accountability for high-quality work and for driving project teams toward the same standard.
Ability to build trust and alignment across peer teams with differing priorities.
Collaborative approach and comfort working as part of a team.

Nice To Haves

Experience in investment management, financial services, or another regulated industry.
Agile or project management certification, such as CSM, PSM, CSPO, or PMP.
Experience building or running an AI governance or technology-controls program, including AI inventories, vendor intake, control testing, and audit evidence.
Familiarity with AI risk frameworks and regulatory expectations, such as NIST AI RMF, ISO/IEC 42001, and SEC and FINRA guidance on AI use.
Familiarity with enterprise AI administration and data-protection controls, such as Claude and ChatGPT Enterprise admin settings, Microsoft Purview, and data-use and retention terms in AI vendor contracts.

Responsibilities

Partner with Infrastructure leadership and technical leads to turn 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.
Identify risks and schedule slippage early and escalate them 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 work in progress and upcoming commitments.
Drive delivery of the AI platform roadmap, including AI and MCP gateways, model and inference providers, agent and tool integrations, and the citizen-developer environment.
Translate firm AI policies into platform requirements and controls in partnership with Compliance, Legal, and Information Security.
Agree on human-in-the-loop requirements with Compliance before agentic workflows go live.
Track and report AI platform adoption and spending across providers.
Assess how new vendor releases affect plans already in progress.
Work with business and research teams adopting AI tools to understand their needs and incorporate them into the platform roadmap.
Own regular stakeholder communications, including weekly status and leadership updates.
Build working relationships with partner teams and represent the Infrastructure team’s commitments and constraints.
Ensure significant initiatives have current documentation, including a plan and decision log.
Maintain the firm’s inventory of AI tools, models, connectors, and agents, along with applicable controls.
Test AI platform controls and keep supporting evidence audit-ready.
Partner with engineers to keep architecture decisions, runbooks, and user guidance current.
Maintain team knowledge-sharing spaces.
Contribute to and enforce best practices for task management, project reporting, change management, and SDLC controls.