Own engineering delivery, quality, scalability and operational excellence across multiple product areas.
Identify and resolve complex technical and architectural challenges.
Build a high-performing engineering culture focused on innovation, ownership, collaboration and continuous improvement.
Evaluate emerging technologies and identify opportunities to leverage AI and automation to improve engineering productivity and product capabilities.
Drive technical modernization and evolution of existing enterprise platforms.
Communicate technical strategy, risks, priorities and progress effectively to senior leadership and stakeholders.
Required Skills & Experience
15+ years of experience in software/product engineering, with significant experience in engineering leadership roles.
Proven experience leading large/multi-team engineering organizations.
Strong background in enterprise SaaS product development.
Excellent understanding of full-stack software engineering and modern application architecture.
Strong experience with Java / Spring Boot / or comparable enterprise backend technologies.
Strong understanding of microservices, APIs, distributed systems and cloud-native architectures.
Hands-on experience with AWS, Azure or GCP.
Experience building and scaling highly available, secure and resilient SaaS platforms.
Strong understanding of modern frontend technologies and full-stack development practices.
Experience with DevOps, CI/CD, automated testing and engineering productivity practices.
Demonstrated experience adopting or implementing AI/GenAI technologies within software engineering or enterprise products.
Strong architectural and technical problem-solving capabilities.
Excellent people leadership, stakeholder management and communication skills.
Good to Have
Experience with LLMs, Generative AI, AI agents or AI-powered developer tools.
Experience integrating AI into enterprise SaaS products.
Experience driving AI-assisted software development / AI-first SDLC
Experience with workflow automation, orchestration or enterprise automation platforms.
Experience working with mission-critical enterprise applications.
Experience managing geographically distributed engineering teams.
Strong exposure to product-led engineering environments.
Ideal Candidate
The ideal candidate is a technology and people leader, rather than an AI researcher alone. They should have a strong track record of building and scaling enterprise software teams and products, while also demonstrating the ability to identify practical AI opportunities and integrate AI into modern engineering and SaaS product development.
Candidates from enterprise SaaS, cloud platforms, automation, workflow, IT management, enterprise software and AI-enabled product companies would be particularly relevant.
If you like growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
THE LEGAL BIT Redwood is an equal opportunity employer. Redwood prohibits unlawful discrimination based on race, colour, religion, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy or any other consideration made unlawful by regional or local laws. We also prohibit discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful and will have a zero tolerance policy applied to it.
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