Engineering Manager - AI-Enabled Engineering & Deliver

Job Summary

We are looking for an experienced Engineering Manager to lead globally distributed engineering teams and manage a portfolio
of customer projects. The role combines engineering leadership, AI-enabled delivery, technical solutioning, customer
engagement, and project P&L ownership. The ideal candidate will have strong technical expertise, experience working with
global customers, and a proven record of delivering complex software programs while driving customer success, profitability,
and AI-led innovation.
Role focus: 60% leadership, delivery, customer engagement, and P&L management; 40% AI-enabled engineering, technical
leadership, solutioning, innovation, and pre-sales

Must-Have Skills & Experience

• 12-15 years of software engineering experience, including at least 5 years in an Engineering Manager or similar leadership
• role.
• Experience leading distributed engineering teams and managing multiple fixed-bid, T&M, support, maintenance, or
  managed-service engagements.
• Strong customer-facing experience, including independently leading customer discussions, managing senior stakeholders,
  and handling escalations.
• Experience working directly with customers in the US and/or Europe; prior onsite customer engagement or onsite
  assignment is highly preferred.
• Strong technical background in modern application development, cloud, APIs, microservices, DevOps, CI/CD, and software
  architecture.
• Experience in technical solutioning, estimation, architecture discussions, and pre-sales support.
• Proven ownership of project/account P&L, including revenue, gross margin, utilization, budgeting, forecasting, billing, and
  profitability improvement.
• Practical experience driving AI-enabled engineering and delivery using AI tools to improve productivity, quality, automation,
  and delivery outcomes.
• Strong knowledge of Agile, Scrum, SDLC, engineering governance, resource planning, risk management, and delivery
  management.

Good-to-Have Skills

• Experience delivering AI solutions, PoCs, or enterprise AI initiatives using GenAI, RAG, AI Agents, or intelligent automation.
• Retail/eCommerce domain experience and experience working in a mid-sized software services organization.
• PMP, Scrum, AWS/Azure, or AI certifications; experience contributing to account growth and strategic customer initiatives

Key Responsibilities

• Lead, mentor, and grow engineering teams while building a culture of ownership, accountability, innovation, financial
• awareness, and continuous learning.
• Own end-to-end delivery across discovery, architecture, estimation, planning, development, testing, deployment, and
  production support.
• Manage project scope, schedule, quality, risks, dependencies, resources, customer communication, and escalations across
  multiple engagements.
• Build trusted customer relationships and translate business needs into practical, scalable, and commercially viable technical
  or AI-enabled solutions.
• Drive AI-assisted engineering across requirements, design, coding, code review, testing, documentation, modernization,
  debugging, estimation, and support.
• Identify customer AI opportunities and collaborate with architects, AI specialists, data teams, and product teams to shape
  PoCs, pilots, and production solutions.
• Measure AI impact on productivity, quality, timelines, cost, utilization, margins, and customer outcomes while ensuring
  security, privacy, responsible use, and human review.
• Own project/account P&L, including revenue, gross margin, utilization, delivery cost, forecasting, billing readiness, revenue
  leakage, and recovery actions.
• Improve profitability through resource-mix optimization, pyramid management, utilization, scope control, delivery
  predictability, automation, and AI-assisted productivity.
• Provide technical oversight for architecture, engineering standards, cloud adoption, DevOps, security, modernization,
  performance, and maintainability.
• Support pre-sales through discovery, solutioning, estimation, proposals, pricing inputs, technical presentations, PoCs,
  renewals, and account-growth initiatives.
• Ensure compliance with contractual commitments, delivery governance, security policies, audit requirements, timesheets,
  billing processes, and organizational controls

Success Measures

• Projects delivered within agreed scope, quality, timelines, and budget.
• Achievement of revenue, utilization, gross-margin, and profitability targets with accurate forecasting and timely billing.
• Strong customer satisfaction, stakeholder confidence, team performance, retention, and capability development.
• Measurable improvement in engineering productivity, quality, predictability, automation, and AI adoption.
• AI opportunities identified, proposed, piloted, converted, or delivered, with contribution to solutioning, renewals, and account
  growth.

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.