AI-Enabled Technical Delivery Manager

MultiPlan; McLean (VA); On-site; USD 150,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401k match

Bonus opportunity

Job summary

Claritev, based in McLean, VA, seeks a Manager, Technical Product Delivery to lead cross-functional software delivery teams from planning through production support. This enhanced leadership role focuses on AI-enabled modernization, product delivery accountability, and operational excellence across a broad technology stack and stakeholders.

You will guide teams on modern architectures, API design, cloud, security, and observability while promoting DevOps/DevSecOps, automation, and measurable

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; equivalent practical experience will be considered.
• Seven or more years of progressive experience in software engineering, quality engineering, or technical delivery, including delivery of customer-facing or business-critical systems.
• Three or more years of people-management experience leading technical professionals, including coaching, performance management, hiring, and career development.
• Demonstrated experience leading one or more Agile software teams and owning delivery from planning through release and production support.
• Experience leading modern enterprise applications on the Microsoft .NET/C# technology stack.
• Working knowledge of modern application architecture, APIs and integration patterns, cloud-based applications, security controls, observability, and production-support practices.
• Experience leading modern engineering practices, including DevOps or DevSecOps, CI/CD, automated testing, BDD, TDD, code review, and quality gates.
• Experience using AI-assisted software-development tools and encouraging responsible adoption across a technical team.
• Working knowledge of AI-agent concepts, AI-enabled workflows, human-in-the-loop controls, and practical opportunities to improve the software delivery lifecycle with AI.
• Strong communication and stakeholder-management skills, including the ability to explain delivery risks and technical tradeoffs to technical and nontechnical audiences.

Responsibilities

• Lead, coach, and develop software engineers, SDETs, and other technical contributors; build high-performing, accountable, and collaborative teams.
• Own delivery of assigned product and engineering outcomes, including planning, capacity, dependencies, risks, release readiness, and stakeholder communication.
• Partner with Product, BA, Architecture, Quality, SRE, Security, Operations, and business stakeholders to translate priorities into achievable delivery plans.
• Communicate progress, risks, tradeoffs, and delivery decisions clearly to stakeholders and senior leaders.
• Foster a culture of continuous improvement through delivery, quality, operational, and customer feedback.
• Provide technical leadership for teams building secure, scalable enterprise applications, APIs, integrations, and data-driven services.
• Guide teams in applying modern distributed-application practices, including microservices, domain-driven design, event-driven architecture, API design, integration patterns, and data-access practices.
• Promote strong engineering practices across the delivery lifecycle, including DevOps/DevSecOps, CI/CD, code review, automated testing, BDD, TDD, and quality engineering.
• Ensure teams build quality, security, testability, maintainability, observability, and operational readiness into delivery from the start.
• Lead practical adoption of AI-assisted software-development tools to improve design, coding, testing, debugging, documentation, and team effectiveness.
• Ensure AI-generated outputs are validated through established engineering practices, including code review, testing, security controls, and human accountability.
• Identify opportunities to apply AI across the software delivery lifecycle, including requirements analysis, design support, development, testing, documentation, and production support.
• Guide teams in using AI agents and workflow automation where they can improve consistency, speed, quality, or capacity.
• Partner with AI, Architecture, Security, and platform teams to enable secure, governed, and scalable AI adoption.
• Help evaluate the value of AI-enabled practices through measurable improvements in delivery flow, quality, automation, developer experience, and customer outcomes.
• Production Ownership and Operational Excellence: Ensure teams are prepared to support production services and respond effectively to issues within their areas of ownership.
• Promote reliable, observable, supportable services with appropriate monitoring, documentation, performance validation, and operational readiness.
• Partner with technical and business stakeholders to address production issues, prioritize improvements, and reduce recurrence.

Skills

Software delivery leadership

People management

Agile leadership

Net/C# experience

Cloud/DevSecOps knowledge

Stakeholder communication

Education

Bachelor's degree in CS or related field

Tools

ASP.NET

NET Core

C#

Web API

MVC

React

SQL Server

Kubernetes

Helm

Azure

AWS

OCI

Azure Service Bus

RabbitMQ

Playwright

Job description

Claritev, based in McLean, VA, seeks a Manager, Technical Product Delivery to lead cross-functional software delivery teams from planning through production support. This enhanced leadership role focuses on AI-enabled modernization, product delivery accountability, and operational excellence across a broad technology stack and stakeholders.

You will guide teams on modern architectures, API design, cloud, security, and observability while promoting DevOps/DevSecOps, automation, and measurable