Technology Product Manager (Platform/Infrastructure)

vikingglobalinvestors

New York (NY)

On-site

USD 180,000 - 260,000

Full time

4 days ago
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Job summary

Viking Global Investors in New York seeks a Technology Product Manager to lead the Infrastructure team's AI platform initiatives. You will partner with engineering leads to translate priorities into plans, deliver cross-functional programs, and ensure governance across AI tools and platforms.

You will manage dependencies, drive roadmap delivery for gateways, providers, and citizen-developer tooling, and coordinate with Compliance and Legal to align human-in-the-loop requirements and controls.

Qualifications

  • 5+ years in technical project, program, or product management.
  • Bachelor's degree with a record of academic success.
  • Track record delivering multi-team technical projects with fixed deadlines.
  • Hands-on experience running Agile (Scrum or Kanban) teams and working knowledge of the software development lifecycle.
  • Understanding of platform technology including cloud platforms (AWS/Azure), identity and SSO, networking, APIs, CI/CD, and infrastructure-as-code.
  • Heavy daily use of LLM tools (e.g., Claude, ChatGPT, Copilot) and concepts such as models, agents, MCP, and token/cost optimization.
  • Experience with Jira, Confluence, Smartsheet.
  • Experience in investment management or regulated industry preferred.
  • Agile or project management certification (CSM/PSM/CSPO/PMP) a plus.

Responsibilities

  • 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 elevate 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.
  • Drive delivery of the firm’s AI platform roadmap, including gateways, model/inference providers, and tool integrations.
  • Translate AI policies into platform requirements and controls in partnership with Compliance, Legal, and Info Security.
  • Agree human-in-the-loop requirements with Compliance before agentic workflows go live.
  • Track and report AI platform adoption and spend across providers.
  • Assess impact of new vendor releases on plans in flight.
  • Partner with business and research teams adopting AI tools to understand needs and bring them into the roadmap.
  • Own regular communication with stakeholders, including weekly status and leadership updates.
  • Build relationships and represent Infrastructure commitments to partner teams.
  • Maintain documentation, runbooks, and knowledge sharing; enforce SDLC controls.

Skills

Agile methodologies
Cloud platforms (AWS/Azure)
LLM tools knowledge
Project management
SDLC / CI-CD

Education

Bachelor's degree

Tools

Jira
Confluence
Smartsheet

Job description

Founded in 1999, Viking Global Investors (\"Viking\") is a global investment firm with a long-term, fundamental, research-intensive approach to investing. Viking manages more than $54 billion of capital across public and private investments. Viking has offices in Stamford, New York, London, and San Francisco, and is registered as an investment adviser with the U.S. Securities and Exchange Commission. For more information, please visit vikingglobal.com .

JOB FUNCTION

The Technology Product Manager is a member of the Infrastructure team, which includes Platform Engineering and Core Infrastructure, and is primarily responsible for predictable delivery of the firm’s infrastructure and platforms, with a particular focus on the firm’s AI platform (gateways, model providers, tool integrations, and the citizen-developer environment). The role partners closely with engineers and technical leads to turn priorities into plans, manages project teams to deliver against them, and keeps all key stakeholders informed. This position requires a working understanding of infrastructure and AI technology, with strong organizational and communication skills. The role will also contribute to firm-wide AI governance, helping implement and maintain platform controls across providers such as Anthropic and OpenAI.

RESPONSIBILITIES

Responsibilities may include, but are not limited to:

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 elevate 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.
  • Assess the impact of new vendor releases on plans already in flight.
  • Partner with business and research teams adopting AI tools to understand their needs and bring them into the platform roadmap.
Communication and Stakeholder Management
  • Own regular communication with stakeholders, including weekly status and leadership updates.
  • Build working relationships with partner teams and represent the Infrastructure team’s commitments and constraints to them.
Documentation and Controls
  • Ensure significant initiatives have current documentation, including a plan and decision log.
  • Maintain the firm’s inventory of AI tools, models, connectors, and agents, and the controls that apply to each.
  • Test that AI platform controls work as intended and keep evidence audit-ready.
  • Partner with engineers to keep architecture decisions, runbooks, and user guidance current.
  • Maintain spaces for knowledge-sharing across the team.
  • Contribute to and enforce best practices related to task management, project reporting, and the firm’s change management and SDLC controls.
QUALIFICATIONS

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)
  • Familiarity with AI risk frameworks and regulatory expectations (e.g., NIST A
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