Sales Engagement Manager- 3

Own the customer relationship end to end—building trust with process owners, business leads, and C-level stakeholders, and sustaining it well beyond theinitial sale. 

• Discovery &needs mapping:Engage client process owners andbusiness leads to map their needs, pain points, and current-state workflows toOrchestration.ai’s capabilities. 

• Trusted advisor posture:Serve as a trusted advisor who helps clients navigate digital transformation using Microsoft AI and Genpact’s orchestrationexpertise—not just selling aplatform, but shaping a modernization roadmap. 

• Outcome articulation:Articulate tangible business outcomes—operational efficiency, cycle-time reduction, error minimization, cost-to-serve improvement, and AI-enabled decision-making—in the customer’s own language and metrics. 

• Executive relationships:Build and nurture long-term relationships across the account, communicating confidently at client executivelevels and expanding footprint throughdemonstrated value. 

• Solution storytelling:Lead L1/L2-level solution conversations and run tailored demos and client walkthroughs that show unified AI architecture, seamless integration, data-driven insights, and responsible AI. 

• Satisfaction & escalation:Own customer satisfaction (CSAT/NPS), proactively manage escalations, resolve conflict, and keep sentiment healthy across geographically dispersed stakeholders. 

• Objection handling:Anticipate client objections and remove blockers through creative deal solutions and proactive stakeholder management. 

Contribution to the Sales Process 

Drive the commercial motion from qualification through close, workinghand-in-hand with presales, practice leadership, and the Microsoft co-sell ecosystem. 

• System Upgrades: Look for current orchestration customers and renew/upgrade current contracts. 

• Pipeline generation & qualification:Identify and qualify orchestration opportunities across the existing 150 customers, focusing on AI-driven modernization in specialized areas such as GBS and functional domains including Source-to-Pay (S2P), Record-to-Report (R2R), and case-management workflows. 

• Value narrative:Explain how Orchestration.ai delivers touchless productivity through AI-led case triaging and workloadoptimization, and use these narratives to advance deals. 

• POC & business case:Partner with presales to build proofs of concept that quantify ROI and stand up a defensible business case for the customer. 

• Deal structuring:Support SaaS + usage-based licensing proposals and structure deals that are competitive for the client yet profitable for Genpact. 

• CRM & forecasting discipline:Maintain CRM discipline—forecast accuracy, pipeline hygiene, and reporting againstleadership KPIs including Marketplace transactions, revenue growth, and co-sell wins. 

• Co-sell & Marketplace GTM:Drive Azure Marketplace GTM and Microsoft co-sell motions to accelerate transactions and unlock partner-sourcedpipeline. 

• Sales enablement:Contribute to the ongoing definition of best sales and pursuit practices, sharing repeatable plays across accounts. 

Solution & Technical Expertise – Microsoft Azure 

Bring solution-selling depth on the Microsoft Azure stack—credible enough to advise clients on architecture and modernization, and to guide the upgrade of their current environment toward an AI-ready state. 

• Native Azure integration:Explain how Orchestration.ai integrates natively with Microsoft Azure, Power Platform, and Copilot extensions, and how the Agentic AI Fabric automates decision flows and real-time optimization. 

• Azure AI & data platform:Demonstrate fluency with Azure AI Services, Microsoft Fabric, and the Copilot ecosystem, and articulate how eachmaps to customer use cases. 

• Architecture literacy:Hold a strong understanding of Azure architecture, AI Services, workflow platforms such as ServiceNow, and Azure Marketplace GTM mechanics. 

• Stack upgrade & modernization advisory:Advise customers on modernizing and upgrading their current stack—moving from legacy, on-premises, or fragmented tooling toward an integrated Azure-based orchestration architecture—and frame the migration path, sequencing, and value at each step. 

• Responsible AI & governance:Positionresponsible AI, data governance, and security as first-class design principles in every solution. 

• Technical-to-commercial translation:Translate technical capability into commercial value, tailoring the architecture story to the audience—from engineers toCxOs. 

Program & Delivery Management 

• Manage Orchestration.ai programs end to end—owning governance, scope, schedule, budget, resources, risks, and communication with the customer and Genpact leadership. 

• Build a reporting matrix across multiple implementations and provide clear program status to senior management. 

• Oversee resourceutilization and optimization planning across the program. 

• Take responsibility for program-level client satisfaction and build long-term relationships. 

• Spearhead program discussions with business stakeholders, practice leadership, and Genpact leadership. 

• Support project managers to ensure delivery follows defined best practices, COE goals, and budget; contribute to the ongoing definition of best delivery practices. 

• Mentor and lead a team of project managers. 

Minimum Qualifications 

• Total 12+ years of IT experience, with at least 5+ years as a Large Program Manager. 

• 7–8 years of enterprise solution sales in Microsoft Cloud, AI, or workflow automation. 

Program Management skills 

• Experience working with senior management and reporting on program status. 

• Experience managing a program of several globalprojects, and managing managers. 

• Ability to manage risks, issues, and budgets. 

Client Management skills 

• Excellent customer-facing skills, including communication, conflict resolution, and solid presentation skills. 

• Ability to thrive in high-pressure environments, managing complex programs and customers with geographically dispersed teams and multi-million-dollar budgets. 

• Responsibility for customer satisfaction and building long-term relationships; experience communicating with client executive levels. 

Technical skills 

• Familiarity with Azure AI Services, Fabric, and the Copilot ecosystem. 

• Strong understanding of Azure architecture, AI Services, workflow platforms like ServiceNow, and Azure Marketplace GTM mechanics. 

• Understanding of SaaS +usage licensing models and value-based pricing. 

• Strong communication, storytelling, and stakeholder-management skills. 

Preferred / Nice-to-have 

• Understanding of Agentic AI concepts, touchless workflow automation, and case-management orchestration. 

• Prior exposure to process domains such as Finance (S2P/R2R) or Customer Service case management. 

• Can-do attitude anda background in software development projects. 

• Ability tothink outside the box and influence discussions toward outcomes that drive productivity and client satisfaction. 

• Ability to resolve problems under pressure.