SVP of Engineering

SVP of Engineering

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Debtt Group

At a Glance

  • Tasks: Lead a transformative journey to modernise supply chain tech with AI and cloud-native solutions.
  • Company: Join SymphonyAI, a leader in innovative supply chain technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with global impact and a chance to build diverse engineering teams.
  • Why this job: Be at the forefront of AI integration and shape the future of supply chains.
  • Qualifications: 15+ years in software engineering and leadership, with deep supply chain expertise.

The predicted salary is between 60000 - 80000 £ per year.

Senior 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.

Key Responsibilities

  • Define 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.
  • Build 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.
  • Serve 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.
  • Lead 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.
  • Partner 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.

Requirements

  • 15+ 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.
  • Strong 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.
  • Builder mentality with hands-on orientation; executive presence and strong communication skills; collaborative and bias for action; comfort with ambiguity.

Preferred Qualifications

  • Experience 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.

Skills

  • Technology 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

SVP of Engineering employer: Debtt Group

At SymphonyAI, we pride ourselves on fostering a dynamic and innovative work environment that champions cutting-edge technology and employee growth. As the SVP of Engineering in our Paris headquarters, you will lead transformative projects while benefiting from a culture that embraces collaboration, diversity, and the latest AI-assisted development tools, ensuring a rewarding career path in the rapidly evolving supply chain sector.

Debtt Group

Contact Details:

Debtt Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land SVP of Engineering

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Debtt Group or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Debtt Group.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Debtt Group.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Debtt Group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace SVP of Engineering

Vibe Coding
AI-assisted Development Tools (e.g., Copilot, Claude Code, Cursor)
Cloud-native Architecture
Composable SaaS
Microservices
Event-driven Design
AI/ML Integration

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Debtt Group.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Debtt Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Debtt Group

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Debtt Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.