Chief of Staff and Head of TPM, Trust Engineering & Operations

Job Description

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This role will be based in Mountain View, CA.

Summary

This is a highly influential role driving trust on LinkedIn’s platform through  operational excellence, strategic planning, AI transformation, and  execution of LinkedIn's critical cross-functional initiatives. Reporting directly to the VP of Engineering for Trust Engineering & Operations, and spanning the full organization, you will be a key partner to and force multiplier for the leader and the leadership team: setting the operating rhythm, raising the execution bar, driving the organization's AI transformation, clearing blockers, and owning the strategic initiatives that keep LinkedIn a safe, trusted and professional platform for over a billion members. You will also lead the technical program management team that drives execution of critical initiatives across the organization. You will gain deep exposure to running a large, complex organization, build relationships with senior stakeholders across LinkedIn, and act as a proxy for the VP in key decisions.

Key responsibilities

Build the operating foundation that lets a complex organization move quickly and with confidence. You will design and run the cadence by which the organization plans, prioritizes, and holds itself accountable, turning a fast-moving, high-stakes environment into one that is predictable and well-planned. You will bring clarity to how we set goals, allocate budget and talent, and measure the health of our work. You will elevate engineering and operational rigor so the organization can move fast without compromising reliability and quality, raising the bar on incident response and follow-through.

Drive the organization's AI transformation as a program. AI is changing both the threats we defend against and the way engineering teams build. You will ensure the organization has a clear AI strategy with named owners and measurable milestones across each workstream, both how we apply AI to strengthen our defenses and how we evolve into an AI-native team with AI-native workflows. You will partner with the cross-functional leaders setting direction, hold the program to its commitments, and keep the leadership team ahead of where AI is heading.

Lead strategic initiatives that require partnership across the company. You will personally own a small number of our most important, cross-organizational initiatives, the ones that depend on alignment across many teams and on someone who can carry them from concept to landed impact. You will align stakeholders on a shared direction, pressure-test the plan, work across organizational boundaries, and represent the leader in key decisions.

Lead and develop the technical program management team. You will lead the technical program management team that drives execution across the organization and set a clear standard for the work. You will develop these leaders into strategic partners who bring judgment and direction to hard problems, not just coordination, and grow the team's impact by scaling through others.

Strengthen the organization's communication and culture. You will help the leadership team communicate clearly and consistently, and shape the narratives that align the broader team. You will support the programs and forums that keep a large organization connected and healthy.

Qualifications

Basic Qualifications

• 10+ years of experience in software engineering, technical program management, or engineering operations, or equivalent role
• BS degree in a technology or or related technical discipline, or 10+ years of related practical experience
• Experience managing teams

Preferred Qualifications

• Experience in Trust & Safety, security, or risk domains a plus
• A deep technical background, with the ability to work from product to platform to infrastructure and reason about AI/ML systems
• A proven track record running large-scale engineering operations with rigor
• Hands-on experience in AI native work flows
• Experience leading technical program management or engineering operations leaders at scale
• Strong analytical and communication skills with the ability to influence and work effectively across organization boundaries
• Curious and creative, able to push boundaries, ask "why?" and "why not?", and is tenacious with problem-solving
• Ability to maintain good judgment in fast-paced, high-stakes environments
• Ability to innovate and scale ideas and processes to large teams

Suggested Skills

• Operational excellence
• Leading transformations
• AI Native workflows
• Technical Program Management
• Managing teams

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. 

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $194,000 to $318,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits 

Additional Information

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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