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Engineering Coach Ai Native Product Engineering

  • Engineering Coach Ai Native Product Engineering job type Posted on: Oct 21, 2026
  • Engineering Coach Ai Native Product Engineering experience level Apetan Consulting llc
  • Engineering Coach Ai Native Product Engineering employment type Jersey City, New Jersey
  • Engineering Coach Ai Native Product Engineering employment type Onsite
  • Engineering Coach Ai Native Product Engineering salary 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

Jobcon Logo Job Description :

Position - Engineering Coach - AI-Native Product & Engineering Transformation
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.

Key Responsibilities Engineering Transformation
  • 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
AI-Enabled Software Development
  • 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
Product Engineering & Delivery Excellence
  • 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
Architecture & Technical Leadership
  • 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
Stakeholder Engagement
  • 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
Required Qualifications Experience
  • 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
Technical Expertise

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
AI & Emerging Technology Experience

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
Preferred Qualifications
  • 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
Critical Success Factors

Successful candidates will demonstrate:

Technical Depth

Ability to engage credibly with architects, engineers, and engineering leadership.

Coaching Mindset

Strong capability to mentor, guide, and influence technology organizations.

Executive Presence

Ability to communicate effectively with senior technology and business stakeholders.

Product & Engineering Perspective

Understanding of how product strategy, engineering excellence, and AI-enabled delivery intersect.

Hands-On Credibility

Able to discuss architecture, engineering practices, AI adoption, developer productivity, and software delivery with real-world implementation experience.

Ideal Candidate Profile

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
Target Companies for Sourcing

Strong candidates may come from:

  • Microsoft
  • Google
  • 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
Keywords for Recruiter Search

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 Summary

Seeking 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.

Jobcon Logo Position Details

Posted:

Oct 21, 2026

Reference Number:

74055-12895

Employment:

CTC

City:

Jersey City

Job Origin:

CIEPAL_ORGANIC_FEED

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Position - Engineering Coach - AI-Native Product & Engineering Transformation
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.

Key Responsibilities Engineering Transformation
  • 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
AI-Enabled Software Development
  • 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
Product Engineering & Delivery Excellence
  • 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
Architecture & Technical Leadership
  • 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
Stakeholder Engagement
  • 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
Required Qualifications Experience
  • 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
Technical Expertise

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
AI & Emerging Technology Experience

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
Preferred Qualifications
  • 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
Critical Success Factors

Successful candidates will demonstrate:

Technical Depth

Ability to engage credibly with architects, engineers, and engineering leadership.

Coaching Mindset

Strong capability to mentor, guide, and influence technology organizations.

Executive Presence

Ability to communicate effectively with senior technology and business stakeholders.

Product & Engineering Perspective

Understanding of how product strategy, engineering excellence, and AI-enabled delivery intersect.

Hands-On Credibility

Able to discuss architecture, engineering practices, AI adoption, developer productivity, and software delivery with real-world implementation experience.

Ideal Candidate Profile

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
Target Companies for Sourcing

Strong candidates may come from:

  • Microsoft
  • Google
  • 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
Keywords for Recruiter Search

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 Summary

Seeking 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.

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