Job description

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.-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 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 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 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 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 Nice to Have 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 What We Offer 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 Grow With Us 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. Commitment to diversity, equity, inclusion, and belonging 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.

Requirements

Must-haves

We’re seeking a Technical Project Manager to join our Project Success team and help clients build, secure, and operate AI infrastructure they own.
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
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
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

Nice-to-haves

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
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

Application prep

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Keywords to mirror

aimlpythonsqlmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto