Product Engineer Manager - Digital Commerce

• Partner with the Product Manager to translate product vision into a clear and achievable technical roadmap
• Own the end-to-end delivery of Nova, from data ingestion and modelling to user-facing features
• Define delivery cadence, rituals, and ways of working for a newly formed, multi-disciplinary squad (data engineers, BI engineers, data scientists, and software engineers)
• Balance short-term feature delivery with long-term investments in architecture and platform foundations
• Set the technical direction for Nova, collaborating with Data and Solution Architects on key design decisions
• Evaluate and recommend the platform evolution strategy, including the transition from Power BI to custom-built applications
• Ensure technical choices support the long-term product vision, including automation, “next best action” capabilities, and cross-functional integrations
• Define how Nova’s technology stack integrates with the broader PepsiCo Digital Commerce and enterprise ecosystem
• Establish and embed engineering best practices across coding standards, data modelling, testing, CI/CD, documentation, and release management
• Ensure data pipelines, models, and applications are designed for scalability, reliability, and performance
• Promote reuse of existing platforms and components across PepsiCo, reducing duplication and increasing efficiency
• Actively manage technical debt, balancing speed to market with long-term platform health
• Build, lead, coach, and develop a high-performing, multi-disciplinary engineering team
• Foster a culture of ownership, collaboration, technical excellence, and continuous improvement
• Grow team capability and capacity to support ongoing product and business expansion
• Act as the primary technical partner to the Nova Product Manager, sharing accountability for product success
• Work closely with Data Architects, Solution Architects, BI and Data Engineering leaders to ensure alignment and shared standards
• Collaborate with Platform and Infrastructure teams to address scalability and operational needs
• Engage with business stakeholders to understand needs, showcase progress, and validate technical feasibility
• Maintain strong collaboration with US-based Product and Engineering counterparts, sharing knowledge while respecting local autonomy

• 10+ years of experience in software or product engineering
• 3+ years leading distributed, multi-disciplinary teams across multiple time zones
• Proven experience leading engineering teams through early-stage product development or initial scaling phases
• Strong track record of building teams from scratch, including role definition, hiring, and culture-setting
• Experience working across data engineering, analytics, data science, and software development disciplines
• Solid software engineering foundation with the ability to review code, assess architectures, and guide frontend and backend decisions
• Experience with Elixir or comparable functional programming languages
• Familiarity with modern data platforms and tooling (e.g., Snowflake, dbt, Airflow, Azure, AWS) sufficient to lead data engineers effectively
• Understanding of BI tools and their limitations, plus exposure to data science and machine learning integrations
• Experience establishing or significantly improving engineering practices in growing or maturing environments
• Strong coaching and mentoring capabilities with a passion for developing engineering talent
• Excellent communication skills and the ability to work effectively with Product, Architecture, BI, DevOps, and business stakeholders
• Comfort operating in environments with ambiguity and evolving scope
• Strong prioritization skills, balancing long-term scalability with short-term delivery
• Ability to adapt leadership and communication style to different audiences

Experience in Retail or e-Commerce is a strong plus