Software Engineering Sr. Manager - Digital Commerce
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Software/Product Engineering Manager - Digital Commerce Intelligence (Nova)OverviewAt PepsiCo's International dCommerce team, we are shaping the future of Digital Commerce by building innovative products and capabilities powered by emerging technologies.Our mission is to accelerate business growth, regain market share, and create outstanding digital experiences for consumers across global markets.While closely connected to the wider PepsiCo ecosystem, the dCommerce team operates with a strong start-up mindset: entrepreneurial, fast-moving, and impact driven.Here, you will have the opportunity to influence strategic decisions, build products from the ground up, and see your work make a tangible difference at scale.The OpportunityWe are looking for an experienced Software/ Product Engineering Manager to lead the evolution of Nova, our flagship Digital Shelf Intelligence product.Nova brings together a rich ecosystem of Digital Commerce signals - spanning sales performance, digital shelf analytics, performance marketing, and more - enabling commercial teams to identify high-impact actions, win in digital channels, and delight consumers.Having successfully completed our first foundational year, Nova is entering an exciting growth phase.This role offers a rare opportunity to scale an internally incubated product from early development into a global cornerstone of PepsiCo's Digital Commerce strategy.You will shape the engineering team, define the technical architecture, and determine how and when to evolve from BI-led solutions into a fully end-to-end application.Partnering closely with Product Management, you will translate vision into reality while balancing innovation, scalability, and delivery.ResponsibilitiesProduct Delivery & ExecutionPartner with the Product Manager to translate product vision into a clear and achievable technical roadmapOwn the end-to-end delivery of Nova, from data ingestion and modelling to user-facing featuresDefine 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 foundationsTechnical LeadershipSet the technical direction for Nova, collaborating with Data and Solution Architects on key design decisionsEvaluate and recommend the platform evolution strategy, including the transition from Power BI to custom-built applicationsEnsure technical choices support the long-term product vision, including automation, "next best action" capabilities, and cross-functional integrationsDefine how Nova's technology stack integrates with the broader PepsiCo Digital Commerce and enterprise ecosystemEngineering ExcellenceEstablish and embed engineering best practices across coding standards, data modelling, testing, CI/CD, documentation, and release managementEnsure data pipelines, models, and applications are designed for scalability, reliability, and performancePromote reuse of existing platforms and components across PepsiCo, reducing duplication and increasing efficiencyActively manage technical debt, balancing speed to market with long-term platform healthTalent & Team DevelopmentBuild, lead, coach, and develop a high-performing, multi-disciplinary engineering teamFoster a culture of ownership, collaboration, technical excellence, and continuous improvementGrow team capability and capacity to support ongoing product and business expansionCollaboration & Stakeholder EngagementAct as the primary technical partner to the Nova Product Manager, sharing accountability for product successWork closely with Data Architects, Solution Architects, BI and Data Engineering leaders to ensure alignment and shared standardsCollaborate with Platform and Infrastructure teams to address scalability and operational needsEngage with business stakeholders to understand needs, showcase progress, and validate technical feasibilityMaintain strong collaboration with US-based Product and Engineering counterparts, sharing knowledge while respecting local autonomyQualificationsWhat You Bring10+ years of experience in software or product engineering, including 3+ years leading distributed, multi-disciplinary teams across multiple time zonesProven experience leading engineering teams through early-stage product development or initial scaling phasesStrong track record of building teams from scratch, including role definition, hiring, and culture-settingExperience working across data engineering, analytics, data science, and software development disciplinesSolid software engineering foundation with the ability to review code, assess architectures, and guide frontend and backend decisionsExperience with Elixir or comparable functional programming languagesFamiliarity with modern data platforms and tooling (e.g., Snowflake, dbt, Airflow, Azure, AWS) sufficient to lead data engineers effectivelyUnderstanding of BI tools and their limitations, plus exposure to data science and machine learning integrationsExperience establishing or significantly improving engineering practices in growing or maturing environmentsStrong coaching and mentoring capabilities with a passion for developing engineering talentExcellent communication skills and the ability to work effectively with Product, Architecture, BI, DevOps, and business stakeholdersComfort operating in environments with ambiguity and evolving scopeStrong prioritization skills, balancing long-term scalability with short-term deliveryAbility to adapt leadership and communication style to different audiencesExperience in Retail or e-Commerce is a strong plusBenefitsHybrid work model: combination of remote and collaborative office experience to enable innovationEntrepreneurial environment in leading international companyProfessional growth possibilities & learning opportunitiesVariety of benefits to support your physical, emotional and financial wellbeingVolunteering opportunities to help external communities*We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability#J-*****-Ljbffr
Requirements
What You Bring10+ years of experience in software or product engineering, including 3+ years leading distributed, multi-disciplinary teams across multiple time zonesProven experience leading engineering teams through early-stage product development or initial scaling phasesStrong track record of building teams from scratch, including role definition, hiring, and culture-settingExperience working across data engineering, analytics, data science, and software development disciplinesSolid software engineering foundation with the ability to review code, assess architectures, and guide frontend and backend decisionsExperience with Elixir or comparable functional programming languagesFamiliarity with modern data platforms and tooling (e.g., Snowflake, dbt, Airflow, Azure, AWS) sufficient to lead data engineers effectivelyUnderstanding of BI tools and their limitations, plus exposure to data science and machine learning integrationsExperience establishing or significantly improving engineering practices in growing or maturing environmentsStrong coaching and mentoring capabilities with a passion for developing engineering talentExcellent communication skills and the ability to work effectively with Product, Architecture, BI, DevOps, and business stakeholdersComfort operating in environments with ambiguity and evolving scopeStrong prioritization skills, balancing long-term scalability with short-term deliveryAbility to adapt leadership and communication style to different audiencesExperience in Retail or e-Commerce is a strong plusBenefitsHybrid work model: combination of remote and collaborative office experience to enable innovationEntrepreneurial environment in leading international companyProfessional growth possibilities & learning opportunitiesVariety of benefits to support your physical, emotional and financial wellbeingVolunteering opportunities to help external communities*We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability#J-*****-Ljbffr