Engineering Manager, Forward Deployed Engineering
Adobe
Cloud
Technical Product Manager, AI Infrastructure and Platform
MECA GROUP, INC.
full-time
Posted on:
Origin: • 🇺🇸 United States • Washington
Visit company websiteSalary
💰 $95,000 - $125,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Cloud
About the role
- Lead evolution of platforms and infrastructure powering AI-enabled compliance solutions.
- Design and deliver systems, pipelines, and internal tools for leveraging AI, including 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.
- Partner with engineering and data teams to evolve 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.
- Collaborate with engineering leads and architects to define requirements, evaluate technical tradeoffs, and guide product development.
- Drive backlog management, sprint planning, and delivery of high-quality, technically sound platform capabilities.
- Work with executives, security, compliance, and product teams to ensure AI infrastructure investments unlock real customer and business value downstream.
- Mentor other PMs and align executive stakeholders around platform vision.
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.
