Technical Project Manager – Agentic AI Platform

• Lead end-to-end delivery of technical programs, from requirements definition and scoping to launch and post-deployment optimization
• Translate product strategy into actionable execution plans with clear milestones, success criteria, and measurable outcomes
• Build and manage cross-functional execution plans involving Engineering, Product, AI Application Engineering, and Data Science
• Anticipate and mitigate program risks, proactively identifying blockers and aligning teams toward solutions
• Ensure all deliverables meet quality standards, scalability, and enterprise readiness criteria
• Act as the connective tissue across Product, Engineering, and Go-To-Market functions
• Drive clarity and alignment across teams by facilitating structured communication, sprint planning, and program status reporting
• Define and improve processes for program execution, issue tracking, and dependency management
• Foster accountability and transparency through structured program dashboards, KPIs, and progress reviews
• Partner with engineering teams to understand system architecture, technical constraints, and integration challenges
• Break down complex AI platform initiatives into manageable workstreams and clear technical deliverables
• Identify opportunities for automation, efficiency, and scalability across Ema’s agentic AI platform
• Support incident management, root cause analysis, and continuous improvement efforts
• Provide executive-level updates on program status, risks, and mitigations
• Communicate technical concepts clearly to both technical and non-technical stakeholders
• Manage expectations across diverse stakeholders—balancing delivery urgency with long-term technical vision
• Drive operational excellence by defining and refining program management frameworks
• Lead retrospectives and post-mortems to capture learnings and improve delivery velocity
• Mentor junior PMs or cross-functional leads in structured program delivery methods

• 10+ years of experience in Technical Program Management, Engineering Program Management, or equivalent roles within Enterprise SaaS, AI, or automation platforms
• Proven ability to lead large, cross-functional technical initiatives from concept to completion
• Strong understanding of cloud platforms (AWS, GCP, Azure), APIs, and enterprise system integrations
• Experience with agile methodologies, sprint planning, and backlog prioritization
• Excellent stakeholder management, communication, and presentation skills
• Demonstrated ability to work with engineering teams on AI or data-driven systems
• Strong analytical mindset with the ability to make data-driven decisions
• Startup experience and comfort with fast-moving environments are highly desirable

Competitive compensation, performance-based bonuses, and rapid career growth opportunities