Head of Operations, Youth AI Safety Institute

$176K - $209K San Francisco, CA, US Mid Level AI Safety

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About This Role

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Head of Operations

Youth AI Safety Institute

Organization

Common Sense Media

Program

Youth AI Safety Institute

Reports To

Executive Director (once hired) and Co\-CEO until ED is in place

Location

San Francisco, CA (in office)

Classification

Salary Range

Full\-time, Exempt

$176,000–$209,000

POSITION OVERVIEW

---------------------

The Head of Operations is the Executive Director's closest operational partner—the person who ensures that every dimension of Common Sense Media's Youth AI Safety Institute functions with integrity, efficiency, and strategic foresight. This is a senior leadership role that spans the full breadth of how the Institute operates: from fiduciary oversight and governance compliance to the smooth execution of our standards, evaluations, and public engagement work; from domestic and global partnership strategy to contract negotiations that anticipate the future shape of the AI industry.

This role ensures our governance is airtight, our partnerships are strategically sound, our work is free of legal or ethical vulnerabilities, and our organization moves with the coherence and coordination that a global safety lab demands. The Head of Operations is the connective tissue of the Institute: internally across the working team, cross\-organizationally with Common Sense Media's shared functions, and externally with the academic, nonprofit, industry, and philanthropic partners who make our mission possible.

This is a role for a senior leader who has operated at the intersection of strategy and execution—someone who can hold both the long view and the immediate operational reality, who anticipates problems before they surface, and who builds the systems and relationships that allow the Executive Director to lead the Institute without being consumed by its mechanics.

The Head of Operations will oversee the Operations team, and will serve as the primary representative of the Institute with Common Sense Media's executive leadership, legal, finance, development, and product and engineering teams.

KEY RESPONSIBILITIES

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### Institute Operations Leadership

  • Serve as the operational anchor for the Institute's leadership team, ensuring that the research, standards, evaluations, and public engagement functions have what they need to move with speed, quality, and integrity.
  • Identify and resolve operational risks—legal, ethical, logistical, or reputational—before they become problems, and develop clear escalation protocols for those that require Executive Director or Board attention.
  • Build and continually improve the Institute's operating model: organizational processes, cross\-functional workflows, decision\-making frameworks, and accountability systems.
  • Oversee the Operations team in setting direction, removing blockers, and ensuring coordination across the cross\-org functions.

### Fiduciary Oversight, Governance \& Compliance

  • Hold ultimate responsibility for the Institute's governance infrastructure, ensuring that charters, policies, conflict\-of\-interest procedures, independence safeguards, and decision\-making firewalls are in place, enforced, and publicly defensible.
  • Oversee funder compliance across philanthropic and industry relationships, ensuring that grant obligations, reporting requirements, and restricted\-use conditions are met with rigor and documentation for the development team.
  • Oversee the Institute's approach to formal complaints, methodological challenges, and legal inquiries, working with Common Sense Media's legal counsel to ensure that responses are principled, documented, and consistent.

### Strategic Partnerships—Domestic \& Global

  • Cultivate the Institute's strategic partnerships at a senior level: identifying and supporting the relationships with academic institutions, nonprofit organizations, standards bodies, international agencies, and related partners, while ensuring that they're integrated with the appropriate research, standards, and evaluations and public engagement functions to further the Institute's credibility and global reach.
  • Operate with a forward\-looking lens: identify the organizations and relationships the Institute will need in two\- to three\-year windows—as standards expand, evaluations scale globally, and the AI landscape shifts—and begin building those relationships now.
  • Represent the Institute in high\-stakes partnership conversations and negotiations, including with frontier AI companies, global standards bodies, and international youth safety organizations.
  • Support the Executive Director in cultivating relationships with key philanthropic and industry funders and coalition partners, ensuring that every engagement is strategically sequenced and well prepared.

### Contract Negotiations \& Legal Foresight

  • Oversee all significant contract negotiations—with evaluation partners, academic collaborators, technology vendors, and international organizations—ensuring that terms are fair, independence is protected, and agreements anticipate future contingencies.
  • Apply strategic foresight to contract design: As the AI industry evolves rapidly, ensure that agreements are structured to accommodate model updates, methodology changes, product category expansion, and shifts in the regulatory environment.
  • Set the Institute's contracting standards, approval frameworks, and spending authority policies, and ensure they are consistently applied across all operational relationships.
  • Identify legal and contractual risks proactively—including IP ownership, liability exposure, data use, and publication rights—and work with legal counsel to address them before they become constraints.

### Cross\-Organizational Connector

  • Serve as the primary operational liaison between the Institute and Common Sense Media's shared services—finance, legal, HR, communications, development, product and engineering, and marketing—ensuring that the Institute has timely access to support and that cross\-organizational commitments are tracked and honored.
  • Ensure that the Institute's work is visible and well understood across Common Sense Media, fostering the internal collaboration and organizational awareness that multiplies impact.
  • Represent the Institute's operational interests in Common Sense Media leadership forums and planning processes.
  • Build the internal culture and communication rhythms—team meetings, cross\-functional syncs, project tracking, reporting cadences—that keep a lean, high\-stakes team coordinated and aligned.

QUALIFICATIONS

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### Required

  • 10–15 years of professional experience in senior operations, strategy, legal affairs, or institutional leadership, with at least five years at a level overseeing teams and cross\-organizational relationships.
  • Demonstrated experience operating at the intersection of strategy and execution in a mission\-driven, research, or standards\-setting context.
  • Track record of building and managing complex, multi\-stakeholder partnerships, including negotiating and structuring significant contracts and agreements.
  • Experience overseeing governance and compliance functions, including conflict\-of\-interest management, grant compliance, or regulatory adherence in a nonprofit or research institution.
  • Legal training or equivalent experience working closely with legal counsel on governance design, contract review, and compliance frameworks.
  • Exceptional judgment: able to identify risk early, make sound decisions under uncertainty, and know when to escalate.
  • Senior\-level written and verbal communication skills; able to represent the Institute credibly in high\-stakes conversations with funders, government officials, international partners, and industry leaders.

### Preferred

  • Experience in AI policy, technology safety, digital rights, or adjacent fields, with sufficient technical fluency to engage credibly with frontier AI companies and standards experts.
  • Background in international organizations, global multi\-stakeholder initiatives, or cross\-jurisdictional policy work.
  • Experience supporting a founding executive director or CEO of a startup, institute, or new program at scale.
  • Familiarity with standards\-setting bodies, benchmarking organizations, or independent research institutes.

WHAT WE OFFER

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  • A senior leadership role at the operational heart of one of the most consequential youth safety initiatives of the AI era, with real authority and direct partnership with the Executive Director.
  • The opportunity to shape how a new institution operates—its culture, its systems, and its relationships—at a moment when those choices matter enormously.
  • A mission\-driven team with a 23\-year track record of impact for families and children.
  • Competitive nonprofit compensation and comprehensive benefits.

A collaborative, flexible work environment with meaningful access to the Institute's leadership and the broader Common Sense Media organization.

*

ABOUT COMMON SENSE MEDIA

Common Sense Media is the leading nonprofit organization dedicated to improving the lives of kids and families by providing the research\-backed information, education, and independent voice they need to thrive in the age of apps, algorithms, and AI. We rate, educate, and advocate for policies to protect and prepare kids online. Our ratings, research, and resources reach more than 150 million users globally, over 1\.4 million educators, and more than 100,000 schools worldwide every year. Learn more at commonsense.org.

As part of Common Sense Media, the Youth AI Safety Institute sets standards, conducts research, and independently tests the AI products children use most.

*Common Sense Media provides equal employment opportunities to all qualified individuals and prohibits discrimination and harassment of any type without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification or characteristic protected by federal, state, or local laws.*

*Common Sense Media will also consider for employment qualified applicants with arrest and conviction records. However, job offers are made on the condition that the applicant subsequently passes a criminal background check. If the background check indicates a prior criminal conviction, we will conduct an individualized assessment to determine whether the conviction should result in denial of employment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records.*

Salary Context

This $176K-$209K range is below the median for AI Safety roles in our dataset (median: $243K across 6 roles with salary data).

Role Details

Title Head of Operations, Youth AI Safety Institute
Location San Francisco, CA, US
Category AI Safety
Experience Mid Level
Salary $176K - $209K
Remote No

About This Role

This role sits at the intersection of AI and engineering, building systems that bring machine learning capabilities into production environments. The scope varies by company, but the common thread is applying AI technology to solve real business problems at scale. Most AI roles today require a combination of software engineering fundamentals and domain-specific ML knowledge, with the exact mix depending on the team's maturity and the product they're building.

The AI job market is evolving fast. New role categories emerge as companies figure out what they need to ship AI-powered products. What matters most is the ability to learn quickly, build working systems, and iterate based on real-world performance data. The specific title matters less than the skills you bring and the problems you can solve. Companies are past the experimentation phase and want engineers who can deliver production-quality systems that work reliably at scale.

Across the 3,708 AI roles we're tracking, AI Safety positions make up 0% of the market. At Common Sense Media, this role fits into their broader AI and engineering organization.

AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.

What the Work Looks Like

Day-to-day work involves a mix of building, debugging, and collaborating. You'll write code, review pull requests, participate in design discussions, and work with cross-functional teams (product, design, data) to define what AI features should do and how they should behave. Expect to spend time on both technical implementation and communication. Most AI teams operate in two-week sprint cycles, with regular demos and retrospectives. The ratio of heads-down coding to meetings and reviews varies by seniority, with senior roles spending more time on architecture decisions and mentorship.

AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.

Skills in Demand for This Role

Python (51% of roles) Aws (30% of roles) Azure (24% of roles) Rag (23% of roles) Gcp (17% of roles) Prompt Engineering (15% of roles) Pytorch (15% of roles) Claude (13% of roles)

Python and cloud platform experience are common requirements. Specific skill needs vary by company and focus area, but familiarity with ML frameworks, data pipelines, and API design covers the basics for most roles. RAG (Retrieval-Augmented Generation), vector databases, and LLM API integration are increasingly standard requirements across role types.

Beyond the core stack, communication skills matter more than many technical candidates realize. The ability to explain AI capabilities and limitations to non-technical stakeholders is a differentiator at every level. Technical writing, documentation, and clear thinking about tradeoffs are underrated skills in AI roles. Experience with evaluation methodology (how to measure whether an AI system is working well) is becoming a core requirement, especially for roles that involve LLM integration.

Look for job postings that specify the problems you'll work on, the tech stack, and the team structure. Vague postings that list every AI buzzword are often a sign the company hasn't figured out what they need. Strong postings describe the product context, the team you'd join, and the specific challenges you'd tackle.

Compensation Benchmarks

AI Safety roles pay a median of $300,000 based on 21 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($192K) sits 36% below the category median. Disclosed range: $176K to $209K.

Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include Research Engineer ($280,000) and AI Architect ($254,798). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.

Common Sense Media AI Hiring

Common Sense Media has 1 open AI role right now. They're hiring across AI Safety. Based in San Francisco, CA, US. Compensation range: $209K - $209K.

Location Context

AI roles in San Francisco pay a median of $277,088 across 810 tracked positions. That's 27% above the national median.

Career Path

Common paths into AI Safety roles include Software Engineer, Data Scientist, Data Analyst.

From here, career progression typically leads toward Senior Engineer, AI Architect, Engineering Manager, Principal Engineer.

Focus on building things that work. A deployed project that solves a real problem is worth more than any certification. Contribute to open-source, build portfolio projects, and invest in fundamentals (software engineering, statistics, systems design) rather than chasing the latest framework. The AI field moves fast, but the engineers who succeed long-term are the ones with strong fundamentals who can adapt to new tools and paradigms as they emerge.

What to Expect in Interviews

AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.

When evaluating opportunities: Look for job postings that specify the problems you'll work on, the tech stack, and the team structure. Vague postings that list every AI buzzword are often a sign the company hasn't figured out what they need. Strong postings describe the product context, the team you'd join, and the specific challenges you'd tackle.

AI Hiring Overview

The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.

The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).

AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.

The AI Job Market Today

The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 21 roles with disclosed compensation, the median salary for AI Safety positions is $300,000. Actual compensation varies by seniority, location, and company stage.
Python and cloud platform experience are common requirements. Specific skill needs vary by company and focus area, but familiarity with ML frameworks, data pipelines, and API design covers the basics for most roles. RAG (Retrieval-Augmented Generation), vector databases, and LLM API integration are increasingly standard requirements across role types.
About 14% of the 3,708 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Common Sense Media is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Safety positions include Senior Engineer, AI Architect, Engineering Manager, Principal Engineer. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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