SVP of Engineering
About Symphony
AISymphony
AI is one of the fastest-growing enterprise AI companies in the world, building purpose-built AI solutions for the retail, CPG, financial services, manufacturing, and supply chain sectors. Backed by founder Dr. Romesh Wadhwani, Symphony
AI operates at the intersection of deep domain expertise and cutting-edge artificial intelligence, serving many of the world’s largest retailers, manufacturers, and consumer goods companies.
The Supply Chain Division is a critical growth engine within Symphony
AI, responsible for delivering AI-powered planning, execution, and decision intelligence solutions to global supply chain organizations. Our platform spans demand forecasting, inventory optimization, warehouse management, transportation planning, supplier collaboration, and end-to-end supply chain visibility — all unified by a modern, cloud-native intelligence layer.
We are seeking a transformational SVP based in EMEA to lead the next era of our Supply Chain technology platform — a leader who can bridge the legacy world of traditional supply chain systems with the modern frontier of generative AI, agentic intelligence, and composable Saa
S architectures.
Job Description
About Symphony
AISymphony
AI is a global leader in enterprise AI, delivering industry-specific Saa
S solutions that help retailers, manufacturers, distributors, and consumer goods companies optimize their supply chains through intelligent planning, execution, and are looking for a Senior Vice President of Engineering to lead the engineering organization for our Retail Supply Chain platform. This executive will drive the evolution of a mission-critical enterprise platform serving global customers while balancing operational excellence with long-term modernization. The ideal leader is equally comfortable scaling engineering organizations, modernizing complex legacy platforms, and partnering with product and customers to deliver business outcomes.
What You'll Own
Engineering Leadership
Lead and scale a high-performing global engineering organization, with a primary development presence in France.
Build a culture of accountability, technical excellence, innovation, and customer focus.
Develop engineering leaders and establish predictable execution across multiple product teams.
Drive engineering metrics around quality, reliability, security, scalability, and delivery.
Platform Strategy & Execution
Own the end-to-end engineering strategy, architecture, and delivery for Symphony
AI's Retail Supply Chain the stability, performance, and availability of mission-critical enterprise applications used by global retailers.
Balance customer commitments, technical debt reduction, modernization initiatives, and new product Modernization
Lead the transformation of a mature enterprise platform by driving:API-first architecture
Event-driven systems and streaming technologies (Kafka preferred)
Cloud-native services across Oracle Cloud Infrastructure (OCI) and Microsoft Azure
Modern engineering practices, automation, observability, and Dev
Ops
Execute modernization through incremental evolution while maintaining uninterrupted service for enterprise customers.
AI & Intelligent Platform Innovation
Embed AI capabilities across the platform, including intelligent workflows, automation, predictive insights, and data enrichment.
Partner with Product, Data Science, and Architecture teams to define the next generation of AI-powered supply chain capabilities.
Champion the adoption of emerging technologies that improve customer outcomes and engineering productivity.
Cross-Functional Leadership
Partner closely with Product Management, Customer Success, Professional Services, and Executive Leadership.
Translate technical investments into measurable customer and business value.
Participate in executive customer engagements, providing strategic technical leadership for large enterprise accounts.
What Success Looks Like
A highly reliable, scalable, enterprise-grade supply chain platform
Successful modernization of legacy technologies without disrupting customers
Increased engineering velocity and predictable delivery
AI capabilities embedded across the platform
Strong engineering culture with high engagement and retention
Trusted partnership with product, customers, and executive leadership
Required Qualifications
Leadership Experience15+ years of software engineering experience, including 7+ years leading large engineering managing globally distributed engineering teams.
Proven ability to scale engineering organizations through periods of transformation and growth.
Technical Expertise
Strong experience with enterprise software platforms, including:Oracle Database
PL/SQLPro*C or C/C++-based enterprise environments
Java application development (Java 8+)REST APIs and microservices
Event-driven architectures (Kafka preferred)
Cloud platforms such as Oracle Cloud Infrastructure (OCI), Microsoft Azure, AWS, or Google Cloud
Modern Dev
Ops, CI/CD, observability, and engineering best practices
Business & Strategic Leadership
Demonstrated success modernizing complex enterprise software executive communication and stakeholder management skills.
Ability to align engineering strategy with business objectives and customer outcomes.
Experience operating in fast-paced, evolving enterprise Saa
S environments.
Preferred Qualifications
Experience building enterprise software for Retail, Supply Chain, Merchandising, Planning, Inventory, Logistics, or Consumer Goods.
Experience with AI, machine learning, or intelligent automation within enterprise of large-scale transactional systems and real-time data supporting Fortune 500 enterprise customers.
Domain Expertise
The ideal candidate understands how engineering decisions impact retail supply chain operations, including:Demand Planning
Inventory Optimization
Replenishment
Warehouse Operations
Transportation & Logistics
Supply Chain Visibility
Store Operations
Omnichannel Fulfillment
Why Join Symphony
AIThis is an opportunity to lead the engineering transformation of one of Symphony
AI's flagship Retail Supply Chain platforms. You will shape the future architecture of a global enterprise product, lead world-class engineering teams, and deliver AI-powered innovation that helps some of the world's largest retailers build smarter, more resilient supply chains.