A dedicated startup is being formed to industrialize and scale a secure, AI-enabled, multi-source decision-support software offering. The platform is a multi-sensor fusion and agentic AI solution that connects to diverse data sources (for example, geospatial layers, imagery, video, and other operational signals). This role will support the delivery of a scalable product and contribute to establishing the processes, standards, and collaboration practices required for sustainable growth.
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Location: Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
Key Responsibilities:
- Own end-to-end delivery of platform and product initiatives spanning software engineering, geospatial workflows, LLM-enabled capabilities, and agentic orchestration.
- Drive execution, governance, risk management, and stakeholder alignment from discovery to release.
- Define scope, outcomes, success metrics, and release plans (MVP to iterations).
- Build and maintain integrated delivery plans: milestones, dependencies, resourcing, and critical path.
- Run agile delivery cadence: planning, standups, reviews, retros, and roadmap alignment.
- Own RAID (Risks, Assumptions, Issues, Decisions), change control, and escalations.
- Coordinate cross-functional streams: platform, data and GIS, ML and LLM, UI and visualization, DevOps and MLOps.
- Align stakeholders on priorities, sequencing, and trade-offs; keep delivery predictable and transparent.
- Coordinate external partners and vendors (APIs, SDKs, data sources, model contributors).
- Support PR and PO follow-up to unblock delivery (with procurement and finance).
- Support contract and SOW coordination: consolidate inputs, manage versions, route for review with Legal and Procurement.
- Support recruiting: role prioritization inputs, interview loop coordination, onboarding readiness.
- Operate in startup mode: execution-first, flexible, able to pivot while keeping control of priorities.
Qualifications and Experience:
- 5+ years managing software and AI programs in a product environment.
- Experience with agile delivery (Scrum or Kanban).
- PMP/PRINCE2/Scrum certification is a plus.
Preferred Tools:
- Jira/Linear and Confluence/Notion
- GitHub/GitLab and CI/CD dashboards
- Miro and Power BI (optional)
Key Performance Indicators (KPIs):
- Release predictability and milestone adherence.
- Risk closure rate and reduction of delivery blockers.
- Cycle time and throughput (team-level).
- Quality leakage (defects after release).
- Stakeholder satisfaction.
Competencies:
- Strong software delivery management (platform and integration-heavy products).
- Working literacy in GIS and AI delivery concepts (pipelines, evaluation, release gates).
- Excellent stakeholder management and concise reporting.
- Strong risk management and decision facilitation.
- Ability to translate ambiguity into measurable milestones and execution plans.
Language Requirements: Not specified.
