AI Implementations Manager

Location: Bengaluru

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  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  you care about  building and shipping real AI systems that work in production , this role is for you.

Who You Are

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

Who You Are

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