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Engineering Coach Ai Native Product Engineering
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Posted on: Oct 21, 2026
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Jersey City, New Jersey
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Onsite
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CTC
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Job Title :
Engineering Coach Ai Native Product Engineering
Job Type :
Contract
Job Location :
Jersey City New Jersey United States
Remote :
No
Job Description :
Location- NY/NJ
Type - Long term contract
Job Description
Engineering Coach - AI-Native Product & Engineering Transformation Position Overview
We are seeking a highly experienced Engineering Coach to work alongside client technology, product, and engineering teams undergoing AI-enabled transformation. The ideal candidate is a hands-on practitioner with deep expertise in modern software engineering, AI-assisted development, product engineering, developer productivity, and engineering operating model transformation.
This role is not a traditional Project Manager, Scrum Master, or Delivery Manager position. The Engineering Coach will work directly with engineering leaders, architects, product managers, and software development teams to accelerate adoption of AI-native engineering practices, improve developer productivity, and modernize software delivery capabilities.
- Coach engineering organizations on AI-enabled ways of working
- Help clients evolve from traditional software delivery to AI-native product engineering
- Assess engineering maturity and identify improvement opportunities
- Drive adoption of modern software engineering practices and operating models
- Advise leadership on engineering organization design and transformation strategies
- Promote adoption of AI-assisted development tools and workflows
- Coach teams on effective use of AI coding assistants and developer productivity platforms
- Establish best practices for AI-augmented software development
- Guide implementation of AI-native development workflows
- Identify opportunities to improve engineering efficiency through automation and AI
- Partner with Product Managers, Engineering Managers, and Architects
- Coach teams on building AI-native products and digital experiences
- Improve software development lifecycle effectiveness
- Facilitate engineering workshops, technical assessments, and capability-building sessions
- Help teams improve quality, speed, and reliability of software delivery
- Conduct architecture reviews and provide technical guidance
- Support cloud-native and platform engineering initiatives
- Advise teams on scalable software and platform design
- Mentor senior engineers, architects, and technology leaders
- Guide implementation of modern engineering patterns and practices
- Engage with client executives and technology leadership teams
- Facilitate engineering transformation workshops
- Present recommendations and transformation roadmaps
- Drive alignment across product, engineering, and business stakeholders
- 12+ years of software engineering experience
- Proven experience leading engineering transformation initiatives
- Prior experience as:
- Principal Engineer
- Distinguished Engineer
- Software Architect
- Engineering Manager
- Engineering Director
- Product Engineering Leader
- CTO or Technology Leader
Strong experience in:
- Modern Software Engineering
- Cloud-Native Architecture
- Platform Engineering
- DevSecOps
- CI/CD
- Microservices Architecture
- API-First Design
- Developer Experience (DevEx)
- Engineering Productivity
- AI-Assisted Software Development
Experience with one or more of:
- Generative AI solutions
- LLM-powered applications
- Agentic AI systems
- AI copilots
- GitHub Copilot
- Cursor
- ChatGPT Enterprise
- Claude
- Enterprise AI platforms
- Consulting or advisory experience
- Experience working directly with Fortune 500 clients
- Product Engineering leadership experience
- Experience driving developer productivity programs
- Experience coaching engineering leaders and teams
- Familiarity with Product Operating Models and Product-Centric Organizations
- Experience building AI-enabled digital products
Successful candidates will demonstrate:
Technical DepthAbility to engage credibly with architects, engineers, and engineering leadership.
Coaching MindsetStrong capability to mentor, guide, and influence technology organizations.
Executive PresenceAbility to communicate effectively with senior technology and business stakeholders.
Product & Engineering PerspectiveUnderstanding of how product strategy, engineering excellence, and AI-enabled delivery intersect.
Hands-On CredibilityAble to discuss architecture, engineering practices, AI adoption, developer productivity, and software delivery with real-world implementation experience.
The ideal candidate has successfully:
- Led engineering organizations through large-scale transformation
- Implemented AI-enabled software development practices
- Increased developer productivity through engineering modernization
- Built or delivered AI-native products and platforms
- Coached engineering teams and technology leaders
- Worked at the intersection of product, engineering, and technology strategy
Strong candidates may come from:
- Microsoft
- Amazon
- Meta
- Databricks
- Snowflake
- Thoughtworks
- Pivotal / VMware Tanzu
- Publicis Sapient
- Slalom
- Accenture
- Deloitte Digital
- BCG X
- McKinsey Digital
- High-growth AI and product engineering organizations
Engineering Transformation
Engineering Coach
Principal Engineer
Distinguished Engineer
Engineering Director
Product Engineering
AI Engineering
Developer Productivity
Platform Engineering
GitHub Copilot
AI-Assisted Development
Developer Experience
Cloud Native
Engineering Excellence
Technology Transformation
Agentic AI
GenAI
Software Architecture
Product Engineering Leader
AI Product Development
One-Line SummarySeeking a senior hands-on Engineering Coach who can help enterprise clients adopt AI-native product engineering practices, improve developer productivity, modernize engineering operating models, and accelerate software delivery transformation at scale.
Position Details
Posted:
Oct 21, 2026
Reference Number:
74055-12895
Employment:
CTC
City:
Jersey City
Job Origin:
CIEPAL_ORGANIC_FEED
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