Associate Technical Program Manager - AI Infrastructure (Houston) US

About the Company

The tech space is crowded, but most solutions feel like they’re cut from the same cloth — missing the mark on what businesses truly need. Organizations are chasing innovation, but too often, it comes at the expense of flexibility, independence, and real technological depth. At Dawn Technologies is a niche company laser-focused on delivering specialized tech solutions in Gen AI, Data Engineering, and Backend Systems. What sets us apart is our commitment to the technologists — the creators, problem-solvers, and innovators who bring true value to transformation. We believe that teamwork plus talent equals exceptional results. We are looking for teammates who are great problem solvers and enjoy collaborating within a team to achieve big outcomes.

Want to work in an organization that supports a focus on cultivating a diverse & inclusive work environment? How about working in a team that creates a culture of execution where people can thrive and feel proud of our successes?   

The Associate Technical Program Manager – AI Infrastructure supports the coordination, planning, and day-to-day operational management of enterprise AI factory and private cloud infrastructure programs within Client's Professional Services delivery environment. This role operates directly under a senior Program Director and serves as the connective tissue across multi-team, multi-supplier program coordination — ensuring priorities are tracked, blockers are surfaced and communicated, governance meetings are organized, and the director's capacity is focused where it matters most.

The role does not require hands-on technical implementation. It requires enough technical literacy to participate meaningfully in engineering discussions — following the nature of progress and blockers raised by GPU infrastructure, HPC, and container platform teams — and to translate that context into clear, organized communication for the director and broader stakeholder group.

Role Positioning

● Junior individual contributor operating under direct supervision of a Program Director

● No independent decision-making authority — key decisions remain with the director; this role enables and informs them

● Not the primary external client contact; may represent the director in internal supplier and team coordination meetings when the director is unavailable

● Technical understanding expected at a conceptual and contextual level — not hands-on engineering or architecture

● High-growth role designed for early-career engineers who want to develop into full program leadership over time

Mandatory Profile Criteria

● Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical field (recent graduates welcome; 0–2 years of professional experience)

● Demonstrated organizational leadership track record — student governance, youth programs, technical clubs, hackathon organizing, sports captaincy, or equivalent structured team environments where the candidate coordinated people and drove outcomes

● Strong written and verbal communication skills; comfortable engaging with both senior engineers and non-technical stakeholders

● Highly organized with strong attention to detail, reliable follow-through, and the ability to juggle multiple concurrent workstreams without losing threads

● Willingness to pursue formal project management certification (CAPM, PMP, CSM, or equivalent) within the first year in role

Key Responsibilities

1. Program Coordination & Execution Support

● Support the Program Director in monitoring delivery progress across AI infrastructure, GPU platform, HPC, and container platform workstreams.

● Maintain and update program plans, milestone trackers, risk logs, and action item registers across all active workstreams.

● Ensure the director has a timely, accurate, and consolidated view of program health across all workstreams and supplier tracks.

2. Meeting Management & Communication

● Own scheduling, agenda preparation, pre-read distribution, and minutes/action item capture for all program governance meetings, team standups, and supplier touchpoints.

● Track and follow up on open action items across engineering teams and suppliers on the director's behalf.

● Step in as the director's proxy in routine coordination and status meetings when the director is unavailable — escalating decisions rather than making them.

3. Technical Context & Blocker Awareness

● Participate in engineering standups, technical reviews, and supplier calls.

● Build sufficient familiarity with AI factory architecture, GPU cluster operations, HPC workload management, and container platforms to accurately capture technical status and blockers.

● Relay technical context to the director clearly and without distortion; flag issues proactively without needing to resolve them.

4. Priority Tracking & Reporting

● Maintain a live consolidated view of program priorities and outstanding decisions; surface these to the director on a defined cadence.

● Prepare concise status summaries, escalation briefs, and decision-ready materials that allow the director to act quickly and confidently.

● Track supplier commitments and engineering team deliverables against agreed timelines; highlight variances before they become escalations.

5. Documentation & Program Administration

● Maintain all program documentation in a structured, current, and accessible state — including program plans, decision logs, RAID logs, and supplier trackers.

● Ensure program artifacts are consistently formatted and ready for director review or stakeholder distribution at short notice.

● Support onboarding of new team members or suppliers by providing organized program context documentation.

6. Professional Development & Program Learning

● Actively build familiarity with Clients AI infrastructure portfolio, GreenLake delivery model, and professional services delivery practices.

● Pursue project management certification (PMI-CAPM, PMP, CSM, or equivalent) ideally within the first year in role.

● Contribute observations and improvement suggestions to the director to continuously refine program coordination practices.

Technical Knowledge Expectations

Conceptual-level understanding of the following areas is expected — not hands-on proficiency, but sufficient familiarity to follow technical discussions, accurately capture what is being said, and communicate it without distortion to the director and stakeholder group:

● AI Factory architecture and Private Cloud AI — GPU clusters, NVIDIA AI Enterprise, training vs. inference workloads, and what these environments are designed to deliver

● HPC fundamentals — workload schedulers (Slurm, PBS Pro), cluster management tools (HPCM, NVIDIA Base Command Manager), and high-speed networking concepts (InfiniBand)

● Container platform concepts — Kubernetes, Red Hat OpenShift, SUSE Rancher; understanding what these platforms do in an AI/HPC delivery context and why they matter

● Client's GreenLake — consumption model basics and how it shapes delivery commitments and customer conversations

● Hybrid cloud and on-premises infrastructure concepts at a high level — sufficient to understand where decisions and trade-offs arise across supplier boundaries

Education & Certifications

● Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical field (required)

● PMI Certified Associate in Project Management (CAPM), PMP, or Agile / Scrum certification: preferred; willingness to pursue within 12 months of joining is expected if not already held

● Cloud, infrastructure, or AI-adjacent coursework, academic projects, or certifications are a plus (e.g., AWS Cloud Practitioner, NVIDIA DLI, Linux Foundation Certified IT Associate)