
Technical Product Manager – AI Infrastructure, Platform
MECA GROUP, INC.
full-time
Posted on:
Location Type: Remote
Location: Washington • United States
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Salary
💰 $95,000 - $125,000 per year
Tech Stack
About the role
- Design and deliver the product direction for 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 a defined set of platform 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, prioritization, and delivery planning, 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
product managementdata platformsAPIsAI/ML infrastructurecloud systemsdata governancesecurity frameworksAI systems scalingsystem design principlesplatform KPIs
Soft skills
strong communicatoralignment of stakeholderscollaborationbacklog managementprioritizationdelivery planningability to translate business needsleadershipadaptabilitybias for action