Director, Product Engineering
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Key skills for this role
About the Role
Publicis Media seeks a Director of Product Engineering to lead the strategic development and execution of AI-powered products. You will oversee the full product lifecycle, manage a high-performing engineering team, and drive innovation through AI/ML integration.
Key Skills for This Role
Responsibilities
- Define and execute the product engineering vision aligned with agency goals and client needs.
- Lead and mentor a team of product engineers, fostering a culture of innovation, accountability, and continuous learning.
- Oversee the roadmap, prioritization, and delivery of AI driven products and enhancements.
- Direct the design, development, and deployment of scalable AI solutions that enhance agency capabilities.
- Partner with Data Science, Martech, and Client Services to identify opportunities for AI integration and workflow automation.
- Establish and enforce engineering best practices, development standards, and quality assurance protocols.
Requirements
- 8+ years of experience in product engineering, AI/ML development, or related fields.
- 4+ years in a leadership role managing engineering teams and product development.
- Proven track record of delivering enterprise grade AI solutions and managing cross functional teams.
- Expertise in Python, R, and machine learning frameworks (TensorFlow, PyTorch, Scikit learn).
- Strong understanding of cloud platforms (AWS, Azure, GCP), data engineering, and model deployment.
- Experience with data visualization tools (Tableau, Power BI, Datorama) and workflow orchestration.
- Exceptional communication skills with the ability to influence senior stakeholders and clients.
- Deep knowledge of responsible AI principles, including ethics, bias mitigation, and data governance.
Full Job Posting
Position Overview
- As Director of Product Engineering, you will lead the strategic development and execution of AI powered products and solutions across the agency.
- This role is responsible for overseeing the full product development lifecycle—from ideation to deployment—while managing a high performing team of engineers.
- You will also oversee the integration of applied data science and machine learning into our product ecosystem.
Leadership & Strategy
- Define and execute the product engineering vision aligned with agency goals and client needs.
- Lead and mentor a team of product engineers, fostering a culture of innovation, accountability, and continuous learning.
- Oversee the roadmap, prioritization, and delivery of AI driven products and enhancements.
- Collaborate with executive leadership to align product strategy with business objectives and market trends.
- Champion responsible AI practices across all initiatives, ensuring ethical standards, data privacy, and compliance.
Product Oversight
- Direct the design, development, and deployment of scalable AI solutions that enhance agency capabilities.
- Own the end to end product lifecycle, including architecture, testing, release management, and performance optimization.
- Evaluate and implement emerging technologies to maintain a competitive edge in AI and automation.
Cross Functional Collaboration
- Partner with Data Science, Martech, and Client Services to identify opportunities for AI integration and workflow automation.
- Translate complex business challenges into actionable technical strategies and product features.
- Present product vision, progress, and impact to internal stakeholders and clients in a clear, compelling manner.
Operational Excellence
- Establish and enforce engineering best practices, development standards, and quality assurance protocols.
- Monitor team performance, resource allocation, and delivery timelines to ensure efficiency and scalability.
- Audit existing workflows and recommend AI driven enhancements to improve productivity and outcomes.
Agency Collaboration & Impact
- Lead strategic partnerships with Research, Martech, and Data Intelligence teams to drive innovation.
- Support planning and leadership teams with AI driven insights and technical guidance.
- Represent Product Engineering in cross functional initiatives, workshops, and client engagements.
- Promote a collaborative, inclusive culture through mentorship, thought leadership, and knowledge sharing.
Qualifications
- 8+ years of experience in product engineering, AI/ML development, or related fields.
- 4+ years in a leadership role managing engineering teams and product development.
- Proven track record of delivering enterprise grade AI solutions and managing cross functional teams.
- Expertise in Python, R, and machine learning frameworks (TensorFlow, PyTorch, Scikit learn).
- Strong understanding of cloud platforms (AWS, Azure, GCP), data engineering, and model deployment.
- Experience with data visualization tools (Tableau, Power BI, Datorama) and workflow orchestration.
- Exceptional communication skills with the ability to influence senior stakeholders and clients.
- Deep knowledge of responsible AI principles, including ethics, bias mitigation, and data governance.
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