Technical Product Manager – AI Infrastructure, Platform

Job not on LinkedIn

4 hours ago

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

💵 $95k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

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MECA GROUP, INC.

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We are the leading provider of business payment technology. We provide cutting-edge Fintech solutions for seamless corporate payments.

11 - 50 employees

📋 Description

• Design and deliver the systems, pipelines, and internal tools that allow SingleFile teams to effectively leverage AI, spanning scalable data pipelines, secure data access frameworks, and governance controls. • Define and prioritize how teams securely access, process, and apply data for AI use cases, ensuring privacy, security, and regulatory compliance are built in from the start. • Partner with engineering and data teams to evolve our cloud and SaaS architecture to support AI-driven workflows at scale, including APIs, permissions models, and infrastructure services. • Own the roadmap for long-term initiatives such as permissions, AI infrastructure, APIs, and related platform areas. • Define and measure platform KPIs such as system performance, data accessibility, and AI adoption metrics to guide iteration and investment. • Collaborate closely with engineering leads and architects to define requirements, evaluate technical tradeoffs, and guide product development with an understanding of system design principles. • Drive backlog management, sprint planning, and delivery of high-quality, technically sound platform capabilities, ensuring engineering teams have clear priorities and context. • Work with executives, security, compliance, and product teams to ensure AI infrastructure investments unlock real customer and business value downstream.

🎯 Requirements

• 5+ years in product management with a focus on technical or platform initiatives such as data platforms, APIs, AI/ML infrastructure, or cloud systems. • Familiarity with SaaS architecture, cloud platforms, APIs, and AI/ML technologies. • Experience with data governance, security frameworks, or scaling AI systems is a strong plus. • Understanding of how modern AI models interact with data pipelines, infrastructure, and APIs, and ability to translate business needs into technical requirements for AI enablement. • Background in legal technology, compliance, or other regulated industries, with an understanding of workflows, data sensitivity, and the customer landscape. • Proven track record of leading technical product areas and partnering with engineering to deliver platform capabilities at scale. • Strong communicator who can align executives, engineers, and product stakeholders around a shared vision. • Ability to connect infrastructure investments to downstream customer and business outcomes. • Thrives in a distributed, fast-paced startup environment with a bias for action.