Manager, Software Engineering – AI Enablement, Automation

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Genesys

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1990

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

Artificial Intelligence • SaaS • Telecommunications

Genesys is a leading provider of AI-powered experience orchestration solutions designed to deliver personalized experiences at scale. Their offerings include comprehensive contact center software, workforce engagement management solutions, and an open platform with cloud architecture. Genesys Cloud CX and EX platforms optimize both customer and employee experiences using intelligent automation and embedded AI, allowing seamless engagement across any channel. With a focus on various industries including banking, healthcare, retail, insurance, and government, Genesys assists organizations in transforming customer and employee interaction landscapes. Additionally, their AppFoundry Marketplace offers pre-integrated applications to extend platform functionalities.

📋 Description

• Lead operations for enterprise AI platforms (e.g., ChatGPT Enterprise, Cursor, Amazon Q) • Establish secure onboarding, access provisioning, governance controls, and operational support models • Monitor platform health, usage, cost efficiency, adoption metrics, and ROI • Manage vendor relationships and support escalations as needed • Identify high-impact AI use cases through collaboration with Engineering, Sales, Marketing, Support, HR, Finance, and other functions • Lead AI adoption initiatives across the organization • Develop and deliver training programs, workshops, office hours, and enablement materials • Oversee RPA and machine-assisted automation initiatives • Recruit, mentor, and develop a high-performing AI & Automations team

🎯 Requirements

• 8+ years of experience in technology, automation, digital transformation, or AI-related roles • 3+ years of experience managing teams, preferably in a global matrixed environment • Experience deploying AI tools at scale in a mid-to-large enterprise • Background in engineering, systems integration, or enterprise architecture • Experience building internal AI capability frameworks or Centers of Excellence (CoE) • Exposure to cost optimization and vendor management for SaaS platforms • Hands-on experience with enterprise AI platforms (e.g., ChatGPT Enterprise, Microsoft Copilot, Amazon Q, Cursor) • Strong understanding of AI governance, data privacy, and compliance considerations (including regional regulations) • Familiarity with workflow automation and RPA tools (e.g., Automation Anywhere, Playwright, PowerAutomate) • Excellent stakeholder management skills with experience working across geographies • Experience supporting global teams from India delivery centers

🏖️ Benefits

• Health insurance • 401(k) matching • Paid volunteer time • August Free Fridays • Well-being resources • Regionally tailored programs for employees and their families