Company Description
Footprint AI is the architect of Streamlined AI, providing a high-performance Model-as-a-Service (MaaS) and a robust SDK designed for seamless co-development. Through our core platform, kafeido.app, we empower partners to build and scale sophisticated AI applications while drastically reducing GPU reliance. By merging advanced LLMOps with proprietary optimization, we enable the next generation of leaner, faster, and smarter industrial models.
Role Description
We are looking for a strategic AI Product Manager to lead the evolution of our MaaS and SDK offerings. Unlike traditional PM roles, you will be the bridge between our core optimization technology and our partners developers. You will oversee the end-to-end lifecycle of our platform tools, ensuring that our SDK is intuitive and our MaaS is robust enough to power large-scale applications in Retail, Manufacturing, and Construction.
Key Responsibilities:
- Platform Strategy: Define the roadmap for our MaaS and SDK, prioritizing features that simplify AI integration for external partner teams.
- Co-Development Leadership: Work closely with partners to gather technical requirements and translate them into scalable platform capabilities.
- LLMOps Excellence: Manage the lifecycle of streamlined models, focusing on performance metrics, cost-efficiency, and hardware optimization.
- Cross-Functional Orchestration: Align engineering, sales, and partner success teams to ensure a seamless developer journey from onboarding to deployment.
- Market Analysis: Monitor the AI infrastructure landscape to ensure Footprint AI remains the premier choice for low-GPU, high-performance industrial AI.
Qualifications
- Product Expertise: 3+ years in Product Management, specifically within SaaS, PaaS, or developer-facing tools (API/SDKs).
- Technical Literacy: Deep understanding of LLMOps, model quantization, or distributed systems. You don't need to code every day, but you must speak Developer.
- Partner-Centric Mindset: Experience in co-development or B2B environments where you've managed external stakeholder expectations.
- Strategic Execution: Proven ability to manage complex product roadmaps and deliver high-quality technical documentation/tools.
- Education: Degree in Computer Science, Engineering, or a related technical field is highly preferred.
- Industry Knowledge: Experience in Retail, Manufacturing, or Smart City applications is a significant plus.
