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Meta

Director, Technical Program Management, Developer Infrastructure

menlo park, CA

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About this opportunity

Meta lists this Director, Technical Program Management, Developer Infrastructure opportunity in menlo park, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

About

Meta's Developer Infrastructure (DevInfra) organization has a single mission: make Meta's engineers - and increasingly, Meta's AI builders - the most productive in the industry. Every engineer at the company depends on what DevInfra builds, and the shift to AI-native development has put our tools, platforms, and systems at the center of how Meta ships software. The nature of the work is changing fast, with work needed across the entire software/product development lifecycle.We are looking for a Director of Technical Program Management to lead the TPM function for DevInfra. This is a leadership role with both breadth and depth: you will build and lead a team of technical program managers embedded across DevInfra's pillars, and you will personally own the highest-risk, highest-ambiguity programs that cut across all of them. You will set the organization-wide operational strategy - deciding where TPM investment creates the most leverage, building the lightweight constructs that accelerate team momentum without adding overhead, and holding the organization accountable to outcomes rather than activity.The right candidate is a team leader with experience motivating and developing high-performing teams with deep technical and program expertise, who can gain the support of stakeholders across many dimensions and bring the whole team along. You do not need to have the correct answer to everything; you do need to be able to quickly drive a conversation toward a productive, programmatic solution by pulling in the right people, concepts, and decision‑making frameworks. You should be a problem solver with experience driving large-scale organizational and technical transformation.

Responsibilities

Build and lead a high-performing team of technical program managers supporting DevInfra's pillars, forging tight partnerships with engineering, product, and cross‑functional leaders across the organization

Set organization-wide TPM strategy: identify the riskiest "can't fail" business and technical initiatives, and deploy TPM where it creates the most leverage

Structure the TPM organization and optimize it for execution - attracting top-tier talent, closing gaps quickly to accommodate change, and building for scale

Own end-to-end delivery of the cross-pillar programs that no single team can land alone, from ambiguous problem statement through measurable outcome

Partner with engineering and product leadership on planning: shaping priorities, validating plans against risks, dependencies, and resource constraints, and driving the planning and review cadence for the organization

Manage, mentor, and grow the existing TPM team, including performance‑managing those who need more support

Deliver measurable results - quantifying the effectiveness of the platforms and processes we own, and identifying how to take them to the next level

Design and execute the process and strategy frameworks that facilitate goal setting, decision making, and business impact across a matrixed organization

Lead technical discussions and serve as a thought leader in program, product, and design reviews; articulate the organization's technical vision, requirements, goals, and milestones to stakeholders up to and including VP‑level leadership

Partner across technical functions company-wide to keep organizations in sync, and represent DevInfra to its internal customers

Lead from the front - prioritize, translate vision into results, and drive the bigger mission forward

Continue to improve a thriving engineering culture with customer focus, world‑class quality, decisive and fast‑moving solutions, quick and constructive conflict resolution, and a "no barriers" mentality

Serve as an evangelist for the team and its culture, both internally and externally

Minimum Qualifications

B.S. in Computer Science or a related technical discipline, or equivalent experience

15+ years of software engineering, systems engineering, or technical product/program management experience

Demonstrated experience building, growing, and mentoring technical program management or engineering teams

Proven track record of scaling infrastructure or platforms in a highly transformative environment

Experience running large-scale, company‑wide initiatives requiring collaboration across a broad range of roles and participants

Experience moving technical or engineering programs from concept to completion, and articulating impact using metrics, growth examples, and return

Experience communicating the reasoning behind program architectures — how and why they were run, and the systems put in place to run them

Knowledge of technical program management methodologies

Experience setting organizational strategy and influencing roadmaps across multiple engineering organizations

Experience with executive‑level communication, including presenting to and influencing senior leadership

Experience navigating ambiguity and defining structure for complex, multi‑year programs

Experience with developer infrastructure, developer tooling, or large‑scale software systems Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience with the software development lifecycle at scale: source control, build systems, CI, code review, testing and verification, mobile/web release

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience leading a function through organizational change or reorganization

Experience leading programs in AI-native software development - coding agents, agent orchestration, evaluation, or the infrastructure that supports them

Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience defining and driving developer productivity or engineering effectiveness metrics

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Worksite address

menlo park, CA, 94029, US

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