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Open nowPosted 3 hours agoWe saw it 88 min after it went up

Technology Product Manager (Platform/Infrastructure)

Viking Global Investors4 open roles

Pay
$180,000 – $230,000 a year
Where
New York, NY or Stamford, CT
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Your applicationOpen nowTechnology Product Manager (Platform/Infrastructure)Viking Global Investors · New York, NY or Stamford, CT
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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Viking Global Investors postings stay open a median of 22 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 3 hours ago

Viking Global Investors median: 22 days open

The posting

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 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.
  • 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 AI RMF, ISO/IEC 42001, SEC and FINRA guidance on AI use)
  • Familiarity with enterprise AI administration and data-protection controls (e.g., Claude and ChatGPT Enterprise admin settings, Microsoft Purview, and data-use and retention terms in AI vendor contracts)

The ideal candidate will possess the following traits:

  • Proactive communicator: Keeps people informed before they ask. Excellent written and verbal communication skills, with the ability to tailor messaging and technical depth to diverse audiences.
  • Technically grounded: Comfortable in engineering conversations and understands the platform well enough to be a credible partner to engineers.
  • Hands-on with AI: Helps others across the firm adopt AI tools.
  • Process- and detail-oriented: Adept at juggling multiple, competing priorities and managing a project team to plan. Superior organizational skills.
  • Accountable: Committed to delivering high-quality work and driving project teams to do the same.
  • Influential: Builds trust and alignment across peer teams with different priorities.
  • Collaborative: Comfortable with and enjoys working as part of a team.

The base salary range for this position is $180,000 to $230,000. In addition to base salary, Viking employees may be eligible for other forms of compensation and benefits, such as a discretionary bonus, 100% coverage of medical and dental premiums, and paid lunches. Actual compensation for successful candidates will be individually determined based on multiple factors including, but not limited to, a candidate’s skill set, experience, education, and other qualifications. For more information on our benefits, please visit www.vikingglobal.com/life-at-viking/.

Viking is an equal opportunity employer. Questions about your candidacy and requests for reasonable accommodation in the recruitment process should be directed to [email protected].

© Viking Global Investors LP. All rights reserved. This job description is proprietary to Viking Global Investors LP and is provided solely for the purpose of evaluating employment opportunities with Viking Global Investors LP. Unauthorized copying, reproduction, automated scraping, indexing, or commercial use of this content is prohibited.

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