AI Implementations Manager

• The AI Implementation Manager owns the delivery and stabilization of Ema’s agentic AI solutions — from commitment through production rollout and steady state. This is not a research role , a support role or a coordination only project management role. You are the delivery leader and technical anchor during implementation, working closely with Value Engineering, Product, Engineering, Infrastructure, and customer IT and business teams. You build rare expertise in production-grade AI delivery. You help set the bar for how agentic AI is delivered in production and prove that AI systems can be implemented responsibly, not heroically . You help enterprises move from manual processes to reliable AI execution. • What You’ll Work On • 1. END-TO-END AI DELIVERY OWNERSHIP • Own delivery from design alignment through production rollout and stabilization • Ensure solutions align with Ema’s agentic architecture and platform capabilities • 2. FEASIBILITY JUDGMENT & AGENTIC WORKFLOW TRANSLATION • Develop a deep understanding of the customer’s business processes and constraints • Translate business workflows into feasible agentic AI workflows • 3. TECHNICAL OVERSIGHT & DE-RISKING • Provide delivery-focused technical oversight without being the primary builder • Anticipate where AI implementations break — integrations, data quality, scale, edge cases • 4. STAKEHOLDER LEADERSHIP (INTERNAL & EXTERNAL) • Act as the primary delivery point of contact for customer business and IT stakeholders • Coordinate across Engineering, Product, Data, Infrastructure, and Value Engineering • 5. DELIVERY MANAGEMENT UNDER PRESSURE • Coach stakeholders and teams during high-stress phases • Reduce chaos — not amplify it — when things go wrong • 6. PROGRESS, REPORTING & STABILIZATION • Communicate delivery progress, risks, and decisions clearly to all audiences • Track success through adoption signals and outcome-adjacent metrics, not just features • 7. TEAM LEADERSHIP & ENABLEMENT • Provide day-to-day delivery leadership and mentorship • Promote shared standards, clear ownership, and delivery discipline • You have 8+ years in technical delivery, implementation management, or program leadership roles • You have experience with agentic AI, automation, or workflow orchestration platforms • You have proven experience delivering complex, customer-facing enterprise systems • You have Hands-on exposure to AI or automation systems in production • You have experience working across Engineering, Product, and customer IT teams • You have track record beyond pilots — production, scale, and accountability required • You have familiarity with cloud platforms (AWS, GCP, Azure), APIs, and enterprise integrations • You have background in fast-growing startups or enterprise platform companies • You have strong Technical and Delivery Judgement and prior experience stabilizing systems post go-live under real pressure • Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.