Head of Engineering

About the role

The Head of Engineering at PALO IT is responsible for ensuring that Gen-e2™ is rigorously applied across the Thailand engineering team. This includes setting and maintaining engineering standards, evaluating new AI tools, and mentoring engineers to improve their skills.

Responsibilities

• Own the quality and consistency of Gen-e2™ application across the Thailand engineering team, auditing adoption, identifying gaps, and working with teams to close them.
• Define and maintain the engineering standards playbook, covering prompt libraries, coding conventions, AI output validation, security guidelines, and quality gates.
• Continuously improve the Gen-e2™ methodology based on what you observe in delivery, what works and what does not.
• Evaluate new AI tools and practices that could meaningfully improve quality or velocity.
• Be the internal escalation point for hard technical problems, the person teams come to when they are stuck.
• Take direct technical leadership on selected projects, working alongside teams rather than managing from a distance.
• Identify and address technical risks and quality issues early, before they become delivery problems.
• Share learnings from your own projects with Hive Masters and Tech Leads working on others, and lift standards across the team.
• Mentor and develop Hive Masters and Tech Leads, building their technical depth, engineering judgement, and AI-native capability over time.
• Foster a culture of craftsmanship and continuous improvement, where engineers take pride in quality and learn from every project.
• Support performance conversations and career development for engineers, in partnership with the COO.
• Run engineering communities of practice, including knowledge-sharing sessions, technical retrospectives, and cross-team learning.
• Contribute to hiring decisions, helping to assess technical capability and generative AI aptitude in candidates.
• Support presales efforts, contributing to bid and proposal processes, including scoping, effort estimation, and solution validation.
• Review technical assumptions in RFP responses to ensure commitments are realistic and deliverable using Gen-e2™.
• Provide input on team composition and technical approach for proposed engagements.

Requirements

• 8 or more years of software engineering experience, with a strong track record of hands-on technical leadership on complex delivery projects.
• Deep expertise in software engineering practices: architecture, code quality, testing, CI/CD, and DevOps.
• Experience in a consulting or client-delivery environment, working across multiple projects and technology stacks.
• Proven ability to mentor and develop engineers, improving team capability over time.
• Familiarity with Agile delivery methodologies including Scrum, Kanban, TDD, and iterative development.
• Experience participating in presales or bid processes, contributing to scoping, estimation, and technical proposals.
• Demonstrated daily use of AI tools in your engineering work.
• Hands-on, daily use of AI coding assistants such as GitHub Copilot or Cursor.
• Strong understanding of prompt engineering for code generation, documentation, architecture review, and automated testing.
• Experience validating and governing GenAI outputs, including reviewing AI-generated code, identifying errors, and enforcing quality guardrails across a team.
• Good judgement about when AI output is fit for purpose, when it needs revision, and when to work without it, and the ability to teach that judgement to others.

Qualifications

• Hands-on experience with cloud platforms (Azure, AWS, GCP), particularly around architecture and CI/CD in cloud-native environments.
• Breadth across multiple technology domains including mobile, DevOps, and full-stack.
• Experience working with AI/ML services in a delivery context, such as LLMs, RAG pipelines, or AI agents integrated into products.
• Familiarity with enterprise software patterns including micro-services, API design, and event-driven architecture.

Skills

• Hands-on, daily use of AI coding assistants such as GitHub Copilot or Cursor.
• Strong understanding of prompt engineering for code generation, documentation, architecture review, and automated testing.
• Experience validating and governing GenAI outputs, including reviewing AI-generated code, identifying errors, and enforcing quality guardrails across a team.
• Good judgement about when AI output is fit for purpose, when it needs revision, and when to work without it, and the ability to teach that judgement to others.

Benefits

• Stimulating, AI-native working environment.
• Unique engineering leadership career path.
• International mobility across 10 countries.
• Internal R&D projects and Gen-e2™ practice.
• Knowledge sharing and global community.
• Personalized training and learning budget.
• Entrepreneurship and intrapreneurship culture.
• B Corp values: impact, wellbeing, excellence.

Pay

Compensation is competitive and commensurate with experience.

Schedule

Full-time position.