Customer Program Manager
About The Position
Nexxa.ai is building artificial super intelligence for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments. Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry. We're hiring a Customer Program Manager to be the operational backbone of our customer delivery engine. You'll manage project schedules, status visibility, and cross-site coordination across Applied AI and core engineering teams operating across global sites — ensuring every engagement ships on time with full visibility. You'll work alongside a Delivery Manager who owns the customer relationship and outcome quality, core-engineering remote project manager. Your job is to make sure the delivery machine runs — schedules are tracked, risks are flagged early, handoffs are clean, and every stakeholder knows exactly where things stand at any given moment.
Requirements
- 5+ years in technical program management, project management, or delivery management — with at least 2 years managing cross-functional, cross-site engineering teams
- Proven experience managing 3–5 concurrent external facing projects simultaneously without dropping balls — you have a system, not just hustle
- Strong command of project management tooling: Jira, Confluence, Rocketlane (or similar), and spreadsheet-based reporting. You're the person who keeps these tools clean and current.
- Experience coordinating across time zones and distributed teams — you've worked with India/APAC engineering teams and know how to structure async handoffs
- Excellent written communication — your status updates are crisp, your escalations are clear, and your meeting notes are actionable. You don't write paragraphs; you write bullet points with owners and dates.
- Technical fluency — you can read architecture docs, understand data pipeline concepts, and have productive conversations with engineers about scope, effort, and trade-offs. You don't need to code, but you need to understand the work.
- Anticipatory mindset — you see risks coming before they materialize. You flag a Milestone 1 delivery risk on Monday, not on Thursday when it's due.
- Experience in enterprise SaaS, consulting delivery, or systems integration. Heavy industry experience (manufacturing, supply chain, energy) is a strong plus.
Nice To Haves
- Experience with Rocketlane, Asana, or Monday.com for customer-facing delivery management
- Prior experience at a fast-growing startup (seed to Series B) where you built the PM process from scratch
- Experience working with AI/ML engineering teams — understanding model training timelines, data pipeline dependencies, and iterative delivery cycles
- Familiarity with enterprise procurement and vendor management processes (purchasing control towers, SOW reviews, NDA workflows)
Responsibilities
- Manage end-to-end project schedules for customer engagements across Applied AI (FDE team) and core engineering teams spanning multiple geographies and time zones
- Maintain real-time project status visibility — Confluence boards, Jira tracking, weekly status reports — so leadership, engineering, and the Delivery Manager always have a single source of truth
- Run internal project review cadences: bi-weekly planning reviews, customer submissions reviews, and dev question sessions across all active engagements
- Proactively identify risks, dependencies, and blockers before they become surprises — escalate to the Delivery Manager with proposed mitigations, not after deadlines slip
- Own cross-site coordination across multiple sites — bridging time zones, aligning handoffs, and ensuring nothing falls between teams
- Drive daily and weekly status updates across all active projects — post EOD updates in team channels with key changes, blockers, and next actions tagged to DRIs
- Prepare and deliver weekly internal status reports to the CPO every Friday — consolidating project health, risk register, and upcoming milestones across all accounts
- Track and maintain delivery governance artifacts: project plans, feedback/release trackers, QA checklists, go-live readiness assessments
- Coordinate resource allocation and capacity planning across FDEs and engineering — flag overload risks and propose reallocation before quality suffers
- Ensure Jira hygiene: correct assignees, updated due dates, closed tickets, and clean backlogs — so automated reporting and AI tools produce accurate outputs
- Support the Delivery Manager in preparing customer-facing materials: milestone review decks, progress summaries, and QBR data
Benefits
- Architect the intelligence layer for the world's largest industrial companies — your designs will run with top Fortune 100 companies
- Work directly with the CPO and CTO on every engagement — ZERO layers of bureaucracy
- Backed by silicon valley top VCs, with access to their portfolio network and enterprise resources
- Early-stage equity with significant upside
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
