Development Manager - AI Tooling & Developer Experience

Posted about 2 hours agoViewed
158400 - 247500 USD per year
CanadaFull-TimeSoftware Development
Company:Jane
Location:Canada
Languages:English
Seniority level:Staff
Skills:
LeadershipPythonSoftware DevelopmentArtificial IntelligenceMachine LearningProduct designCI/CDMentoringDevOpsPrototyping
Requirements:
Track record of being an exceptional product engineer as an IC. Deep understanding of the problem being solved. Comfortable jumping into code, CI/CD, and configs. Able to set vision and gain alignment. Evidence of zero-to-one delivery of products, tools or platforms that changed how engineers work. Default to small, composable bets that compound. Demonstrated mastery applying AI to software delivery. Drive the adoption of custom generative and agentic AI solutions. Understand prompting, evaluation, guardrails, and when AI should or should not be used. Strong product sense for developer experience. Foster a culture of customer centricity. Articulate trade-offs clearly. Skilled at storytelling, internal evangelism, and creating momentum via demos, docs, Tech Radar, and enablement. Use data to decide where to invest and when to pivot. Track adoption, cycle time, quality, and reliability. Experience leading senior engineers. Coach for leverage, set crisp goals, and create accountability while protecting focus. Bring high standards and the ability to translate ideas into widely adopted practice. Hold a big-picture vision plus bias to execute.
Responsibilities:
Define what "excellent" looks like for AI-assisted ideation, coding, testing, reviews, and operations. Rapidly prototype, validate, and productionize AI tools and patterns. Translate big ideas into adopted workflows that improve speed and quality. Tell the story, demo often, and publish examples to create momentum. Lower the cost of trying ideas through safe sandboxes, golden paths, and templates. Lead and support a small senior team while continuing to contribute technically. Mentor junior engineers. Help the organization understand what great looks like in AI-enabled development. Act as a connector across Dev, Product, Security, and Clinical teams. Set a clear strategy for AI-enabled development workflows.
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