Job Title

Ema is building the world’s firstUniversal AI Employee— an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters.Unlike copilots or narrow automation tools, Ema deploysproduction-grade multi-agent systemsthat integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don’t experiment — they replace brittle, manual operations with reliable AI systems that deliver measurable outcomes.Founded by leaders fromGoogle, Coinbase, and Okta , and backed by top-tier investors, Ema operates at the frontier ofenterprise AI execution , not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale. If you care aboutbuilding and shipping real AI systems that work in production , this role is for you.Who You AreTheAI Implementation Managerowns thedelivery and stabilizationof 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 thedelivery leader and technical anchorduring implementation, working closely with Value Engineering, Product, Engineering, Infrastructure, and customer IT and business teams. You build rare expertise inproduction-grade AI delivery.You help set the bar forhow agentic AI is delivered in production andprove that AI systems can be implemented responsibly, not heroically . You help enterprises move from manual processes toreliable AI executionWhat You’ll Work On1. End-to-End AI Delivery Ownership Own delivery fromdesign alignment through production rollout and stabilization Ensure solutions align withEma’s agentic architecture and platform capabilities2. Feasibility Judgment & Agentic Workflow Translation Develop a deep understanding of the customer’sbusiness processes and constraints Translate business workflows intofeasible agentic AI workflows3. Technical Oversight & De-Risking Provide delivery-focused technical oversight without being the primary builder Anticipate where AI implementations break — integrations, data quality, scale, edge cases4. 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 Engineering5. Delivery Management Under Pressure Coach stakeholders and teams during high-stress phases Reduce chaos — not amplify it — when things go wrong6. Progress, Reporting & Stabilization Communicate delivery progress, risks, and decisions clearly to all audiences Track success throughadoption signals and outcome-adjacent metrics , not just features7. Team Leadership & Enablement Provide day-to-day delivery leadership and mentorship Promote shared standards, clear ownership, and delivery disciplineWho You AreYou have 8+ yearsin technical delivery, implementation management, or program leadership roles You have experience with agentic AI, automation, or workflow orchestration platforms You have proven experience deliveringcomplex, 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