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Technical Project Manager

Technical Project Manager

thinkwise consulting llp
Early Applicant
  • Posted 29 days ago
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Job Description

Technical Project Manager

Key Responsibilities

* Serve as the single point of continuity for the project, engaged from initial pre-sales conversations through full delivery and project completion

* Participate in pre-sales technical discussions, helping scope engagements, assess feasibility, and translate client needs into actionable project plans

* Act as the primary liaison bridging technical teams (engineers, architects, NVIDIA specialists) and operational/business stakeholders (client leadership, sales, account management)

* Maintain a high-level, working understanding of the technical solution being delivered (NVIDIA hardware/software, GPU infrastructure, AI/ML systems, networking, or related technologies) — enough to speak credibly in technical conversations without necessarily doing the hands-on engineering work

* Develop and manage project plans, timelines, resource allocation, and budgets throughout the engagement lifecycle

* Identify risks, dependencies, and blockers early, and proactively drive resolution across teams

* Facilitate regular status meetings, technical syncs, and executive updates with both internal teams and the client

* Ensure consistent, clear communication and documentation across all phases (pre-sales, scoping, implementation, delivery, closeout)

* Manage scope changes, escalations, and cross-team coordination to keep the project on time and on budget

* Own the client relationship day-to-day, ensuring expectations are managed and trust is maintained throughout the engagement

* Coordinate with NVIDIA (and/or NVIDIA partner) resources as needed for technical alignment, product updates, or escalations

* Drive project closeout activities, including documentation handoff, lessons learned, and transition to support/operations

Requirements

* 7+ years of project management experience, with significant time spent in technical program/project management roles

* Demonstrated, hands-on experience within the NVIDIA ecosystem — this could include NVIDIA hardware (GPUs, DGX systems), software stack (CUDA, AI Enterprise, Omniverse, etc.), or infrastructure/deployment projects involving NVIDIA technology

* Proven ability to operate across the full project lifecycle — from pre-sales/scoping through delivery and closeout — not just execution-phase PM work

* Strong technical fluency: able to understand and discuss architecture, infrastructure, and technical trade-offs at a high level, even without being the hands-on technical implementer

* Excellent stakeholder management skills — comfortable working with C-level executives, technical engineers, and everyone in between

* Experience acting as a bridge role between technical and non-technical teams, translating complexity into clear, actionable communication

* Strong track record managing complex, multi-stakeholder projects with competing priorities and tight timelines

* PMP, PMI-ACP, or similar project management certification (preferred, not always required if experience is strong)

* Excellent verbal and written communication skills; comfortable presenting to clients and leadership

* Experience working in a billable/consulting capacity, understanding how to manage scope, time tracking, and client billing expectations

* Ability to travel to client sites as needed for the engagement

Preferred Qualifications

* Direct experience with NVIDIA AI infrastructure deployments, data center/GPU cluster projects, or NVIDIA partner ecosystem engagements

* Background in systems integration, IT infrastructure, or AI/ML project delivery

* Existing relationships or familiarity with NVIDIA's partner/certification programs

* Experience in a system integrator (SI), consulting, or professional services environment

* Familiarity with project management tools (Smartsheet, MS Project, Jira, Asana) and reporting frameworks

More Info

Job Type:
Industry:
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Key Skills

GPU infrastructure

NVIDIA hardware

AI Enterprise

Omniverse

ML systems

project management tools

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