Senior Product Engineer leading application and integration of protection and control solutions by Hubbell. Collaborating with engineering, sales, and customer support to deploy tailored technical solutions.
About the role
- Director of Software Engineering at Acuity leading AI-enabled digital commerce platform development and transforming user experience with modern architecture.
Responsibilities
- Oversee the end‑to‑end Commerce AI and Data Platform portfolio in alignment with business strategy and goals.
- Provide strategic leadership for research and development initiatives: Identify, evaluate, and prioritise emerging technologies with a strong emphasis on AI, Cloud (Azure), Multi-Agent Agentic AI, Vector DBs, machine learning, and generative AI .
- Monitor industry trends, advances in AI engineering, and competitive landscapes.
- Partner with the Digital Commerce Experience leader to co‑lead the strategic evaluation, experimentation, and implementation of AI‑driven capabilities that fundamentally transform commerce experiences and unlock new avenues for growth.
- Partner with Customer, Enterprise, Product, Data, and Platform leaders to define the Commerce AI platform roadmap , product outcomes, and experience goals.
- Engineering Leadership: Lead engineering teams to develop and deliver high-quality software solutions, ensuring adherence to best practices and industry standards.
- Manage the prioritisation, sequencing, and resourcing of the portfolio roadmap across multiple AI and software engineering teams.
- Own investment planning and financial oversight related to the development, evolution, and operation of the Commerce AI platform.
- Act as a senior stakeholder across business and technology functions to continuously evaluate and improve end‑to‑end platform effectiveness and user experience.
- Be accountable for software product management and AI engineering teams , encompassing multiple delivery teams.
- Foster a culture of innovation and delivery excellence: Encourage structured experimentation, proofs of concept, and responsible adoption of emerging AI technologies.
- Support collaboration with industry partners, research institutions, and internal innovation initiatives, translating insights into production capabilities.
- Support the development of intellectual property (IP), including patents, publications, and presentations at partner or industry forums where appropriate.
- Ensure strict compliance with all relevant data privacy, security, and AI governance policies , mitigating risk and ensuring data integrity across platforms.
Requirements
- Proven experience leading digital commerce, data, cloud or AI‑enabled platform portfolios in an enterprise environment.
- Strong business and technology acumen within the commercial domain, with a deep understanding of B2B customer needs.
- Strong understanding of modern cloud‑native architecture , including distributed systems, microservices, and platform‑oriented design.
- Familiarity with domain‑driven design (DDD), event‑driven architecture, and common architectural patterns used in scalable systems.
- Demonstrated understanding of AI and machine learning concepts , including generative AI systems, large language models (LLMs), and applied AI in enterprise contexts.
- Strong alignment with Python‑centric engineering ecosystems and modern AI development stacks, even if not personally hands‑on.
- Experience working with Agile delivery models including Scrum, Kanban, SAFe, and modern engineering organisations.
- Excellent leadership, communication, and stakeholder management skills.
- Strong financial acumen with experience managing technology investments at portfolio level.
- Experience operating in fast‑moving, growth or transformation‑oriented environments .
- Prior exposure to scaling AI‑driven systems from experimentation into enterprise production.
- Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Minimum of 7 years of experience in software engineering leadership roles.
- Proven track record of successfully managing software portfolios and engineering projects.
- Experience with resource allocation, risk management, and performance monitoring.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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