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ai apis sdks llms embedded_analytics📋 Description
- Own and drive platform components: infrastructure, APIs, data services.
- Define requirements for platform services, Compose SDK, and AI layers.
- Collaborate with Engineering, Architecture, and Design on scalable decisions.
- Prioritize end-to-end experiences for developers and customers.
- Turn customer needs into high-impact platform solutions.
- Drive adoption and post-launch optimization of platform capabilities.
🎯 Requirements
- 1–3 years in PM/TPM/solutions eng/soft eng with strong technical foundation.
- Experience with platform products, APIs, data platforms, or AI/ML tech is a plus.
- Solid tech understanding; comfortable with architecture, data modeling, APIs, scalability.
- Able to convert complex concepts into requirements, user stories, and roadmaps.
- Excellent English communication; collaborate with tech and non-tech stakeholders.
- Experience with AI, LLMs, agentic systems, or AI-powered capabilities is a plus.
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