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.
Location: Remote; U.S.-based candidates preferred. Candidates outside the U.S. are welcome to apply but must be available to work U.S. business hours.
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 RoleWe’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 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
- 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
- Medical, Dental & Vision – 100% paid for employees, 75% for dependents
- 401(k) Match
- Unlimited PTO – With a required minimum of 15 days off annually
- Fully Remote Setup – Includes up to $3,000 equipment reimbursement
- Disability & Life Insurance – 100% employer-paid
- HSA & FSA Options – With monthly HSA contributions from OpenTeams
At OpenTeams, growth isn’t just about the company—it’s about you.
We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. As your skills grow, our career framework provides a pathway and recognition of that increased impact.
Opportunities aren’t limited by geography. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily. That global perspective and diversity makes our solution more universal and robust. We are committed to continuing to celebrate diversity on our team.
Supported people are successful people. We offer 100% employer paid medical premiums for employees and self-managed PTO with a minimum time off requirement, so that our teams are able to do their best work.
We invest in curiosity, creativity, and ownership. That means you’ll be trusted to boldly innovate, supported to learn fast, and celebrated for successful collaboration.
OpenTeams understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions.
We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. OpenTeams will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
