Product Engineer Manager - Lead AI-Driven Backend & Roadmap

GetVocal AI Ltd.

Paris

On-site

EUR 100,000 - 150,000

Full time

14 days+

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Benefits offered by this job

25 days holiday + public holidays

Private healthcare

Pension contribution

ESOP/VSOP (shares)

Swile

Job summary

GetVocal AI Ltd. is seeking a Product Engineer Manager to own the technical delivery of a product area end-to-end. You will work closely with Product to turn customer and business problems into reliable software that reaches production quickly.

This hands-on leadership role combines product thinking, architecture, coding, delivery, and technical leadership to build reliable, scalable software. You will leverage AI tooling to accelerate implementation, testing, and debugging while maintaining

Qualifications

Excellent software engineering fundamentals and strong hands-on Python experience.
Experience owning significant product functionality from specification through deployment and operation.
Strong understanding of system architecture, APIs, databases, distributed systems and production environments.
Experience designing systems for reliability, scalability, security and maintainability.
Strong understanding of automated testing, CI/CD and modern software delivery practices.
Experience diagnosing production issues using logs, metrics, traces and other observability tooling.

Responsibilities

Own the product roadmap together with Product, contributing technical context, feasibility, sequencing and engineering trade-offs.
Own features from problem definition to production: technical specifications, planning, resource allocation, implementation, testing, release and post-release monitoring.
Take technical ownership of your product area, ensuring architecture, code quality, security, reliability, scalability and technical debt are managed appropriately.
Remain highly hands-on and write meaningful amounts of production code.
Build and evolve backend services and product capabilities, with Python as a core part of the stack.
Break complex product requirements into clear technical plans that engineers and AI coding agents can execute effectively.
Own the release lifecycle for your area, including CI/CD, release readiness, deployment and rollback strategies.
Improve development velocity and reduce the time between an idea being agreed and that capability reaching production.
Monitor production behaviour and continuously improve uptime, error rates, latency, incident frequency and overall product reliability.
Lead technical investigations when things go wrong and ensure incidents translate into meaningful engineering improvements.