Product Manager Ai Infrastructure Spark
Jobgether
Shape Spark product strategy with AI infrastructure expertise in Canada, working remotely across a globally distributed environment. Guide backend resources for AI-powered development.This experienced Product Manager will lead Spark from initial MVP through general availability. You will define agent-friendly infrastructure experiences, pricing, and scalable product journeys. The work spans Product, Engineering, Growth, and Finance while supporting platform customers and developer-focused use cases.Key Responsibilities:
Own Spark product strategy and roadmap from MVP through general availabilityMake backend infrastructure seamless for AI agents and platformsDefine experimentation-to-production journeys across the broader platformDevelop sustainable packaging and pricing strategies with cross-functional partnersEstablish metrics, instrumentation, and data-informed prioritizationRequirements:
At least five years managing developer tools or infrastructure productsUnderstanding of agent-driven development and changing backend requirementsFamiliarity with AI evaluations, experimentation, and data analysisBias toward shipping, learning, and iterating quicklyExcellent written communication for asynchronous remote collaborationBring product judgment, AI infrastructure insight, and execution discipline to Spark’s evolving backend platform for developers.
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Own Spark product strategy and roadmap from MVP through general availabilityMake backend infrastructure seamless for AI agents and platformsDefine experimentation-to-production journeys across the broader platformDevelop sustainable packaging and pricing strategies with cross-functional partnersEstablish metrics, instrumentation, and data-informed prioritizationRequirements:
At least five years managing developer tools or infrastructure productsUnderstanding of agent-driven development and changing backend requirementsFamiliarity with AI evaluations, experimentation, and data analysisBias toward shipping, learning, and iterating quicklyExcellent written communication for asynchronous remote collaborationBring product judgment, AI infrastructure insight, and execution discipline to Spark’s evolving backend platform for developers.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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