SVP of Engineering

About SymphonyAI

SymphonyAI 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, SymphonyAI 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.

Job Description

We 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 SymphonyAI's Retail Supply Chain platform.
• Ensure 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 innovation.

Platform Modernization

• 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 DevOps

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 Experience

• 15+ years of software engineering experience, including 7+ years leading large engineering organizations.
• Experience 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/SQL
• Pro*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 DevOps, CI/CD, observability, and engineering best practices

Business & Strategic Leadership

• Demonstrated success modernizing complex enterprise software platforms.
• Strong executive communication and stakeholder management skills.
• Ability to align engineering strategy with business objectives and customer outcomes.
• Experience operating in fast‑paced, evolving enterprise SaaS 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 applications.
• Understanding of large‑scale transactional systems and real‑time data platforms.
• Experience 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 SymphonyAI

This is an opportunity to lead the engineering transformation of one of SymphonyAI’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.