Technical Project Manager - Project Success

Who We Are
Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it.

OpenTeams exists to make ownership possible.

Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves.

If that sounds like your kind of work, we'd like to meet you.
Technical Project Manager - Project Success
Location : Remote - U.S
Work Authorization: Authorized to work in the U.S. without current or future sponsorship.
Salary Range: $120,000 - $150,000 USD (dependent on experience level and location)
About the Role
We’re seeking a Technical Project Manager to join our Project Success team and help clients build, secure, and operate AI infrastructure they own.
Our engagements range from implementing AI platforms within a client’s environment and building knowledge and retrieval applications over sensitive data to securing open-source AI systems, facilitating AI discovery with leadership teams, and serving as an embedded technical partner.
This is not a traditional project management or coordination-only role. It is a technical collaboration role. You’ll work alongside OpenTeams engineers, client stakeholders, and account leaders to understand design-level concepts, capture requirements and decisions, and keep technical execution aligned with client needs.
You won’t direct engineering work from the outside. You’ll partner closely with the teams designing and building the solution, helping translate and structure complex information so technical and business stakeholders remain aligned.
Key Responsibilities
- Collaborate with engineers, clients, and account leaders to understand technical objectives and proactively address project needs
- Participate in technical discussions and capture requirements, decisions, dependencies, risks, and tradeoffs across infrastructure, data, security, and AI/ML
- Help clients clarify where their data resides, who owns it, how it can be accessed, and which business processes AI should support
- Track constraints involving data sovereignty, on-premises infrastructure, air-gapped deployment, security, compliance, and procurement
- Maintain visibility into project plans, priorities, decisions, deliverables, dependencies, and status
- Build trusted relationships with client stakeholders across technical, operational, and leadership teams
- Ensure technical deliverables remain aligned with client requirements and business objectives
- Identify risks, challenges, and unresolved decisions early and help drive them toward resolution
- Support transitions from implementation to operation, including documentation, handoffs, and ongoing support arrangements
- Partner with account leaders to identify opportunities for expansion, renewal, or deeper client collaboration
- Share best practices, lessons learned, and reusable approaches across the Project Success team

Required Skills & Experience
- Experience partnering with engineering teams in a highly technical, customer-facing environment, such as technical project management, technical program management, consulting, delivery leadership, or a comparable role
- Ability to participate in design-level technical conversations and accurately capture requirements, decisions, dependencies, risks, and tradeoffs
- Fluency with developer tooling: you are comfortable reading a pull request, writing a script, and using AI coding assistants to automate your own work. Python and SQL are a plus
- Technical breadth across several of the following areas, with meaningful depth in at least one:
- Cloud or on-premises infrastructure, including containers, orchestration, networking, or GPU compute
- Da