Principal Technical Program Manager - FDE

Full Job Description

Embed with strategic customers to lead complex technical programs with high autonomy, aligning business needs with engineering solutions across AI, cloud, and data. Take ownership of the customer journey end-to-end, from problem definition through co-engineering delivery to measurable business outcomes. Apply AI assisted engineering practices as a daily operating mode: use AI tools across the full software development lifecycle to accelerate requirements-to-specs, generate high-quality engineering artifacts from customer context, and drive continuous flow of value from business need to production. Operate fluently in engineering tooling (e.g., VS Code, GitHub, AI agents) as primary work surfaces for planning, documentation, and technical program leadership. Validate AI-generated outputs with domain expertise to maintain quality at speed. Navigate ambiguity in customer environments with self-direction and high ownership. Make technical and program decisions with incomplete information, proactively identify opportunities and manage risks, providing data-driven recommendations to stakeholders. Champion and cultivate reusable solution patterns, open-source assets, and engineering playbooks that scale impact beyond individual engagements. Contribute to the broader engineering community through knowledge sharing and best practices. Partner with multi-disciplinary engineering teams (software engineers, data scientists, designers) to evaluate, design, and deliver AI-powered cloud solutions side-by-side with customer engineers. Give key stakeholders data-driven recommendations based on identified risks and tradeoffs. Embodies our culture and values. Bachelor's Degree Or equivalent experience Several years of experience managing cross-functional and/or cross-team projects. Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. Several years of experience in customer-facing technical roles (e.g., consulting, solutions engineering, field engineering, or similar). Experience with AI/ML technologies, cloud architecture, data engineering, and using AI tools and workflows in creating software engineering artifacts.

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