Client Engagement & Delivery Manager

Evonence; Pune District; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Evonence is seeking a Technical Client Partner to own the end-to-end client relationship and technical project delivery for North American enterprise accounts. You will bridge business goals with engineering execution, manage client stakeholders, and ensure AI/ML and cloud solutions are delivered on time and within budget.

You will lead cross-functional teams, drive demos and value-based proposals, and monitor KPIs such as latency, model accuracy, and cost reductions.

Qualifications

• Experience managing technical software delivery or client-facing technical leadership.
• Strong understanding of AI/ML, data pipelines, MLOps, and ROI tradeoffs.
• Familiarity with AWS/Azure/GCP, microservices, containers, and serverless.
• Proven ability to deliver enterprise-grade software in Agile/DevOps environments.
• Excellent presentation and negotiation skills with non-technical executives.
• Experience managing project P&L, SOWs and contract renewals.

Responsibilities

• Own end-to-end client relationship for North American enterprise accounts.
• Lead presentations, demos, and technical pitches to client decision-makers.
• Translate AI/ML value into business ROI and justify investments.
• Lead cross-functional engineering, product, and QA teams to deliver complex apps.
• Manage agile milestones, track deliverables, and clear roadblocks.
• Partner with leads to design scalable, production-grade solutions within budgets.
• Define and report KPIs (latency, model accuracy, automation efficiency).
• Conduct value-delivery reviews with executive sponsors.

Skills

North American account management

AI/ML literacy

Cloud architecture

Enterprise app development

Communication & negotiation

P&L / SOW management

Tools

Docker/Kubernetes

Serverless architectures

Job description

The Technical Client Partner owns the end-to-end client relationship and technical project delivery for North American enterprise accounts. They bridge the gap between business goals and engineering execution. They manage client stakeholders, drive revenue growth, deliver high-impact demos, and ensure technical teams deliver high-quality, scalable AI/ML and cloud solutions on time and within budget.

Key Responsibilities:

Client Engagement & Presentation

• North American Account Ownership: Serve as the primary, trusted technical point of contact for enterprise clients
• Presentations & Demos: Deliver high-impact, persuasive live demonstrations and technical pitches to client decision-makers, validating engineering feasibility and modern cloud capabilities.
• AI/ML Value Translation: Translate complex AI/ML mechanics into clear business value propositions. Explain the direct return on investment (ROI) of predictive models and Generative AI pipelines.

Technical Delivery Oversight

• AI & Cloud Delivery: Lead cross-functional engineering, product, and QA teams to successfully deliver complex enterprise web/mobile apps, serverless architectures, and generative AI pipelines.
• Milestone Ownership: Manage agile sprint cadences, track technical deliverables, and proactively clear project roadblocks.
• Account Engineering: Partner with technical leads to design scalable, production-grade solutions that fit client budgets.
• Success Metric Tracking: Define, monitor, and report on key implementation success metrics (e.g., system latency, model accuracy, business process automation efficiency, and infrastructure cost reductions).
• Value Reviews: Conduct formal value-delivery presentations back to the client's executive sponsors to justify ongoing investments and prove system performance against initial benchmarks.

Growth & Farming

• Account Farming: Identify opportunities within existing accounts for modernizing legacy systems using AI/ML or cloud tech, driving account expansion, and leading scope and contract negotiations.

Required Qualifications & Skills

• Experience: 5+ years managing technical software delivery or serving as a client-facing technical lead, with at least 2 years managing North American enterprise accounts.
• AI/ML Literacy: Understanding of LLMs, data engineering pipelines, MLOps, and model training vs. inference costs.
• Cloud Architecture: Familiarity with modern cloud providers (AWS, Azure, GCP), microservices, containers (Docker/Kubernetes), and serverless.
• Enterprise App Dev: Experience delivering secure, compliant, multi-tenant enterprise software solutions under Agile, Scrum, and DevOps frameworks.
• Communication & Analysis: Masterful presentation and negotiation skills, with a strong analytical mindset to construct value frameworks and measure KPIs for non-technical executives.
• Business Acumen: Experience managing project P&L, SOWs (Statements of Work), and client contract renewals.

What Success Looks Like

• Predictable Delivery: Shipping complex AI and cloud features smoothly without project scope creep, while keeping client satisfaction scores (CSAT/NPS) high and churn low.
• Trust & Retention: Becoming the trusted technical sounding board for the client's engineering leadership, ensuring they clearly understand and visually witness the impact of their AI investments.
• Expansion: Delivering technical demos that successfully expand contract scope or secure project expansions, resulting in measurable year-over-year revenue growth.