Engineering Coach - AI-Native Product & Engineering Transformation

Apetan Consulting
Jersey City, NJ, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Computing Platforms Mobile Application Development Cloud Engineering Continuous Integration Cursor Scrum Methodology Software Engineering GitHub Copilot Large Language Models Generative AI AI Coding Agents
+8 more
Agentic-AI AI Platforms Claude Api Design GPT Devsecops AI Co-pilot Microservices

Job description

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

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

Requirements

  • 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, * 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., 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, 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.

Benefits & conditions

  • 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

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