Senior Manager leading Developer Experience transforming software development at Vena. Focusing on AI-assisted engineering and enhancing developer productivity across the organization.
Responsibilities
Lead and grow a globally distributed team across Canada and India while partnering closely with the Sr. Director of STO & Strategic Initiatives to define and execute a forward-looking Developer Experience strategy centred on GenAI-first software development.
Lead the adoption and integration of AI-assisted development capabilities (e.g., Copilot, Cursor, internal AI agents), embedding them into the developer workflow to improve engineering velocity, code quality, test effectiveness, and overall productivity.
Define and operationalize a GenAI-first development model, identifying high-impact opportunities across the product development lifecycle (PDLC) for automation, augmentation, and intelligent tooling.
Own the strategy and delivery of Vena’s internal developer platform, including CI/CD, source control, artifact management, templated bff services and developer self-service capabilities, with a focus on reducing friction and cognitive load for engineers.
Partner with Product & Development teams to identify bottlenecks in the developer journey and deliver scalable, high-leverage solutions that improve speed and quality of delivery.
Stay current with industry trends in Developer Experience, Platform Engineering, and AI-driven development, rapidly evaluating and introducing new capabilities that provide a competitive advantage.
Mentor and develop engineers and emerging leaders, fostering a culture of ownership, continuous improvement, and engineering excellence.
Requirements
7+ years of experience in DevOps, Platform Engineering, Software Engineering, or Developer Experience-related roles.
4+ years of experience in a leadership role (Team Lead or Manager), with experience managing distributed teams.
Strong understanding of Developer Experience and Platform Engineering concepts, including internal developer platforms and productivity optimization.
Familiarity with developer productivity and delivery metrics (e.g., DORA metrics, flow metrics) and their application in improving engineering performance.
Experience with AI-assisted development tools and a strong interest in applying GenAI to improve the software development lifecycle.
Strong cross-functional collaboration and stakeholder management skills, with the ability to influence without direct authority.
Proven ability to define and execute on a technical roadmap supporting a broader engineering organization.
Strong programming and software engineering fundamentals, with experience delivering production systems.
Experience with cloud platforms (Azure and/or AWS) and infrastructure-as-code practices.
Strong sense of ownership and accountability for team outcomes and organizational impact.
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