Product Engineer Manager

The Role As a Product Engineer Manager , you will own the technical delivery of a product area end-to-end at GetVocal, working closely with Product to turn customer and business problems into reliable software that reaches production quickly. This is a hands-on technical leadership role. You will own more than the implementation of individual features. You will help shape the roadmap, define the technical approach, write production code, coordinate delivery, manage releases, and remain accountable for the reliability and maintainability of what your team ships. We are looking for the kind of engineer who can move comfortably between product thinking, architecture, coding, delivery and technical leadership. Modern software engineering is also changing rapidly. We expect our engineers to use AI coding tools as part of their everyday workflow — not simply to generate code, but to explore solutions, accelerate implementation, improve testing and debugging, and increase the amount of high-quality software they can deliver. The result should be simple: better products shipped faster, without lowering the engineering bar. What You’ll Do 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. Use AI coding tools to accelerate implementation, testing, debugging, refactoring, documentation and technical exploration. Review AI-generated and human-written code with the same level of engineering scrutiny. Coordinate engineers across internal and offshore teams, including helping with hiring, onboarding and technical development where required. Give Product and Engineering leadership clear visibility into progress, risks, trade-offs, incidents and changes to delivery commitments. Raise the engineering bar through pragmatic technical leadership rather than…