Customer Engagement Manager

About the role

The Customer Engagement Manager owns a portfolio of strategic enterprise accounts end-to-end: every engagement, every outcome, every relationship, every expansion opportunity. Think of this as the McKinsey Associate Partner model applied to enterprise AI delivery. You are the single point of accountability for your accounts. The customer calls you - not your manager - when they have a problem. You staff delivery teams, oversee solution quality, run executive readouts, measure ROI, drive adoption, rebuild trust when things break, and grow the book through proven production value. This is not a project management role. This is an account ownership role that combines delivery orchestration, outcome ownership, customer leadership, and commercial growth.

Responsibilities

• Account Ownership
• Own your accounts end-to-end: every engagement, every outcome, every relationship. Everything good or bad stops with you.
• Be the single point of contact the customer calls for any problem - delivery, quality, adoption, escalation, or expansion.
• Maintain a holistic view of each account: engagement status, risk exposure, opportunity pipeline, and the customer's strategic priorities for the quarter.
• Run account planning: engagement roadmaps, resource forecasting, risk assessment, and growth strategy.
• Delivery Orchestration
• Staff and direct delivery teams (Engineering Leads, Implementation Managers, AI Application Engineers) across your accounts.
• Oversee delivery quality across all engagements: review solution architectures, attend go-live rehearsals, ensure evaluation rigor.
• Manage cross-engagement dependencies within an account (e.g., shared integration infrastructure between parallel deployments).
• Serve as the delivery escalation point: join war rooms, coordinate fixes across Engineering and Product, and communicate resolution to the customer.
• You don't write code - but you review architectures, challenge unrealistic scope, and ensure go-live readiness. Your leverage is orchestration and judgment.
• Outcome Ownership & Continuous Improvement
• Own post-go-live outcomes: adoption, ROI, accuracy, and user trust. This role absorbs the Outcomes Manager function for your accounts.
• Run regular usage readouts: AI deflection rates, false positive/negative trends, HITL escalation patterns, user bypass rates, and trust signals.
• Separate product gaps from process, training, or expectation gaps. Not everything that looks broken is an engineering problem.
• Drive continuous improvement cycles: readout → diagnose → prioritize → fix → re-measure.
• Communicate outcomes in business language: efficiency gains, cost savings, error reduction - not just dashboards, but diagnosis and action plans.
• Executive Stakeholder Leadership
• Run QBRs with VP/C-level stakeholders: present outcomes, risks, improvement plans, and the strategic roadmap.
• Navigate internal customer politics: when the VP of IT and VP of Business disagree on priorities, facilitate alignment around shared success metrics.
• Communicate bad news credibly: present the data, the diagnosis, and the recovery plan - without losing trust.
• Handle C-level escalations. When the CTO threatens to terminate or the CFO questions ROI, you are the person in the room.
• Commercial Growth
• Grow your book through outcome-driven expansion: deliver the first SOW excellently, measure ROI rigorously, present evidence to the C-suite, then propose the next SOW grounded in proven value.
• Identify new use cases by deeply understanding customer business processes and pain points - not by pushing a product catalog.
• Know when to push for expansion vs. when to stabilize. Premature expansion erodes trust. You earn the right to grow by delivering first.
• Co-sell with Sales: provide the delivery credibility and outcome evidence that makes expansion proposals close.
• Product & Platform Partnership
• Act as the voice of your customers to Product and Core Engineering. Translate field patterns into structured, actionable feedback - not one-off requests.
• Identify cross-customer patterns that signal platform gaps or opportunities.
• Partner with Product on customer-facing roadmap discussions: what

Additional Information

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale.

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