SVP of Engineering

TransformationLead data model modernization, API gateway design, tenant isolation, and migration strategies for enterprise clients (parallel runs, phased cutovers).Modernize data architecture to support real-time streaming and graph-based modeling (Kafka, Flink) and unified analytics for operations and ML training.Transition release management from quarterly waterfall to continuous deployment with feature flags while protecting enterprise stability.Strategic & Organizational LeadershipPartner with the CEO on division strategy, planning, budgeting, and investment priorities.Align technology investments with market demand and ARR growth; own technology budget and resource allocation.Build a diverse engineering culture and chair a Technical Advisory Board of external supply chain and AI experts.RequirementsExperience & Background15+ years in enterprise software engineering and technology leadership; at least 5 years at VP/SVP/CTO level in supply chain, retail, or CPG technology.Deep

domain expertise across System of Execution and System of Intelligence components of supply chain.Proven track record leading platform transformation from on-prem to cloud-native SaaS at enterprise scale (100+ enterprise clients, $50M+ ARR platform).Direct experience delivering production-grade, customer-facing AI/ML capabilities at scale.Familiarity with competitive supply chain platforms and experience working with retailers/CPG clients.Technical DepthStrong architectural fluency: microservices, API-first, event-driven architecture, multi-tenant isolation, Kubernetes/container orchestration, serverless patterns.Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming).Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling, agent frameworks) and graph/knowledge graph technologies.DevOps/SRE practices at scale: CI/CD, IaC (Terraform, Pulumi), observability (Datadog, Grafana), incident management.Leadership QualitiesBuilder mentality with hands-on orientation; executive presence and strong communication skills; collaborative and bias for action; comfort with ambiguity.Preferred QualificationsExperience at leading supply chain technology vendors or major retailers/CPG companies.Prior experience with data monetization, retail media intersection, outcome-based pricing, and multi-geography engineering organizations.Fluent in French and English; advanced quantitative degree (MS/PhD) a plus.SkillsTechnology Vision System Architecture Cloud Migration AI Strategy ML/AI Productionization MLOps Microservices Event-driven Architecture DevOps/SRE CI/CD Infrastructure as Code Observability Incident Management Data Architecture Streaming Systems Client-facing Communication Stakeholder Management M&A Technical Due Diligence Organizational Leadership Change Management #J-18808-Ljbffr

Explicitly calls out “vibe coding” and adoption of AI-assisted dev tools (Copilot, Claude Code, Cursor) for rapid prototyping and improved developer experience.About the RoleSenior technology leader to serve as SVP/CTO for SymphonyAI’s Supply Chain Division in EMEA, responsible for driving a multi-year transformation from legacy on-premise systems to a cloud-native, AI-first composable SaaS platform. Lead platform architecture, large engineering teams (150-300+), generative AI integration, client-facing technology engagements, and technical M&A decisions.Job DescriptionRoleSymphonyAI is hiring an SVP of Engineering / EMEA CTO for its Supply Chain Division to lead a transformation mandate: move a legacy, on-prem supply chain platform to a cloud-native, composable SaaS architecture and embed AI/ML and generative AI across the product suite. The role is based in EMEA (Paris headquarters) and includes global engineering leadership and client-facing responsibilities.Key ResponsibilitiesDefine and own the multi-year roadmap for Systems of Execution (WMS, TMS, OMS) and Systems of Intelligence (demand planning, supply optimization, decision analytics).Architect transformation from monolithic legacy systems to composable, API-first, cloud-native SaaS using microservices and event-driven design.Embed AI/ML as a foundational design principle and integrate generative AI/LLMs for copilots, natural language interfaces, autonomous workflows, and agentic capabilities.Own technical due diligence for M&A, partnerships, and build-vs-buy decisions.Engineering Leadership & Operational ExcellenceBuild and scale engineering organization across Paris and global centers (target 150-300+ engineers).Establish CI/CD, automated testing, IaC, feature flagging, canary deployments, and observability-first culture.Drive metrics for deployment frequency, lead time, MTTR, change failure rate; implement platform reliability standards (target 99.95%+ uptime, SOC 2 Type II, GDPR/data sovereignty).Champion developer experience and AI-assisted development tools (e.g., Copilot, Claude Code, Cursor) and rapid prototyping workflows.Lead applied AI strategy for forecasting, inventory optimization, routing, supplier risk, and digital twins.Deploy generative AI across product features (LLM assistants, automated reporting, anomaly explanation, conversational analytics).Build agentic AI frameworks for autonomous supply chain actions and integrate privacy-preserving and sandboxing patterns.Run an innovation lab for rapid POCs with clients and productize successful experiments within ~90-day cycles.Client-Facing Technology LeadershipServe as senior technology executive in strategic engagements with large retailers and CPG enterprises; present to CIOs/CTOs/CDOs.Lead technical strategy in deal pursuits, RFPs, proof-of-value, and contract renewals; co-create roadmaps with strategic accounts.Represent the company at industry conferences and analyst briefings.Legacy-to-Modern