Technical Project Manager - Project Success

OpenTeams helps enterprises and governments build AI systems they control, govern, and evolve. The Technical Project Manager partners with engineers, clients, and account leaders to align technical execution with client needs, manage project requirements and risks, and support transitions into ongoing operations.

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 shared 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

Requirements:

• Authorized to work in the U.S. without current or future sponsorship
• 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
• Data engineering, data pipelines, and enterprise-system integrations
• Artificial intelligence and machine learning systems
• Software security, dependency management, and vulnerability remediation
• Application delivery, DevOps, or platform operations
• Ability to communicate technical concepts clearly and confidently to engineering, business, and executive audiences
• Experience coordinating work across technical teams, client stakeholders, account teams, and other business partners
• Experience identifying and tracking technical risks, project dependencies, constraints, and success criteria
• Comfort working within enterprise constraints such as security reviews, restricted environments, procurement processes, and regulatory requirements
• Strong written communication, organization, and documentation skills
• Curiosity, adaptability, and the ability to learn unfamiliar technical concepts quickly
• Bachelor's degree in engineering, computer science, physics, mathematics, or a related technical discipline
• Experience supporting Fortune 50 or other large enterprise clients
• Experience working within financial services or another highly regulated industry
• Experience guiding projects from discovery and implementation through operational handoff and ongoing support
• Consulting or professional-services experience