AI Implementations Manager job opportunity at Ema Unlimited.

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Ema Unlimited AI Implementations Manager
Experience: 8-years
Pattern: full-time
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loacation Bengaluru, Karnataka, India - Bengaluru, India
loacation Bengaluru, Kar..........India

Ema is building the world’s first Universal 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 deploys production-grade multi-agent systems that 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 from Google, Coinbase, and Okta, and backed by top-tier investors, Ema operates at the frontier of enterprise 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 about building and shipping real AI systems that work in production, this role is for you.Who You AreThe 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 executionWhat You’ll Work On1. End-to-End AI Delivery OwnershipOwn delivery from design alignment through production rollout and stabilizationEnsure solutions align with Ema’s agentic architecture and platform capabilitie2. Feasibility Judgment & Agentic Workflow TranslationDevelop a deep understanding of the customer’s business processes and constraintsTranslate business workflows into feasible agentic AI workflows3. Technical Oversight & De-RiskingProvide delivery-focused technical oversight without being the primary builderAnticipate 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 stakeholdersCoordinate across Engineering, Product, Data, Infrastructure, and Value Engineering5. Delivery Management Under PressureCoach stakeholders and teams during high-stress phasesReduce chaos — not amplify it — when things go wrong6. Progress, Reporting & StabilizationCommunicate delivery progress, risks, and decisions clearly to all audiencesTrack success through adoption signals and outcome-adjacent metrics, not just features7. Team Leadership & EnablementProvide day-to-day delivery leadership and mentorshipPromote shared standards, clear ownership, and delivery disciplineWho You AreYou have 8+ years in technical delivery, implementation management, or program leadership rolesYou have experience with agentic AI, automation, or workflow orchestration platformsYou have proven experience delivering complex, customer-facing enterprise systemsYou have Hands-on exposure to AI or automation systems in productionYou have experience working across Engineering, Product, and customer IT teamsYou have track record beyond pilots — production, scale, and accountability requiredYou have familiarity with cloud platforms (AWS, GCP, Azure), APIs, and enterprise integrationsYou have background in fast-growing startups or enterprise platform companiesYou have strong Technical and Delivery Judgement and prior experience stabilizing systems post go-live under real pressure

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