Senior Technical Program Manager - Forward Deployed Engineering

About Core42

Opportunity

Key responsibilities

• Qualify customer problems and lead discovery with executives, users, domain experts, engineering, data, security, and operations teams.
• Frame problems through user research, interviews, workflow observation, journey mapping, service blueprints, ideation, prototyping, and validation.
• Analyze workflows, performance, constraints, risks, and data; define value hypotheses, measurable outcomes, and evidence plans.
• Translate customer context into scenarios, personas, user journeys, user stories, acceptance criteria, technical requirements, and engineering briefs.
• Define engagement charters, MVP or first-production scope, milestones, dependencies, readiness gates, rollout, and adoption plans.
• Own execution from discovery through prototype, production deployment, stabilization, adoption, and closure; track owners, decisions, risks, and outcomes.
• Partner with engineers across AI, cloud, data, applications, and integrations to assess feasibility and trade-offs without replacing engineering ownership.
• Use dashboards and evidence to assess delivery health, usage, model quality, reliability, latency, cost, adoption, and customer impact.
• Use AI-enabled tools to accelerate requirements and program artifacts, validating outputs with expertise, customer evidence, and engineering review.
• Identify technical, data, security, privacy, responsible-AI, regulatory, operational, and adoption risks; define readiness, escalation, and contingency plans.
• Align executives, product leaders, engineers, and customer teams; facilitate trade-offs and decisions without formal authority.
• Plan customer adoption, training, communications, operating-model changes, and capability transfer; turn field patterns into reusable playbooks and product feedback.

Required qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, Product Management, or a related field, or equivalent practical experience.
• 10+ years across technical program management, product development, engineering, data, or business analysis, including 5+ years leading complex cross-functional or cross-team programs.
• Customer-facing experience taking ambiguous needs from discovery and qualification to technical delivery and measurable outcomes.
• Strong business analysis, workflow analysis, requirements elicitation, process mapping, value-case development, KPI definition, and evidence-based prioritization.
• Practical design-thinking and product-discovery experience, including research, problem framing, journey mapping, facilitation, prototyping, experimentation, and validation.
• Ability to write program and product artifacts, including charters, user stories, acceptance criteria, technical briefs, decision records, roadmaps, risk registers, and executive updates.
• Technical fluency across AI/ML, cloud, data, APIs, application architecture, software delivery, and production operations.
• Experience managing scope, dependencies, risks, release readiness, rollout, and adoption across concurrent workstreams.
• Ability to define and use business-impact, adoption, delivery, reliability, quality, latency, cost, and customer-experience metrics.
• Excellent executive communication, facilitation, negotiation, and stakeholder-management skills; high ownership, structured problem solving, and sound judgment.
• Willingness to work regularly from customer locations and travel according to engagement needs.

Preferred qualifications

• Master’s degree in Engineering, Computer Science, Artificial Intelligence, Business Analytics, Product Management, Design, or a related field.
• Experience leading AI, generative-AI, agentic, cloud, or data-platform programs from discovery through production adoption.
• Experience with AI solution evaluation, responsible-AI controls, model and workflow quality measures, and data-readiness assessment.
• Experience with Azure, Azure AI, Azure OpenAI, GitHub, engineering backlogs, observability platforms, analytics tools, and AI-assisted development workflows.
• Experience in government, healthcare, financial services, energy, defense, or other regulated and mission-critical environments.
• Experience with sovereign, private-cloud, on-premises, disconnected, or restricted deployments and related security, privacy, and compliance requirements.
• Experience developing reusable program playbooks, qualification methods, delivery templates, or product-feedback mechanisms.
• Working knowledge of software engineering or data analysis, including reading code, querying data, or creating lightweight analytical prototypes.
• Regional delivery experience in the UAE or wider Middle East; Arabic capability is advantageous.

Role boundaries and success

Working at Core42

• Core42 describes a diverse, inclusive, collaborative environment grounded in trust, accountability, and high performance.
• Benefits listed include a competitive salary package, annual performance bonus, Esaad and Fazaa discount cards, family health coverage, and learning and development opportunities.