Project Manager (Youth AI Safety Institute)

$66K - $82K San Francisco, CA, US Mid Level AI Safety

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About This Role

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Project Manager (Youth AI Safety Institute)

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.

The Opportunity

Launched in May 2026, the Youth AI Safety Institute is Common Sense Media's newest addition to its programmatic pillar. The Institute establishes safety standards, builds open\-source evaluations that AI developers can run against their models, independently tests AI products, and publishes the results to provide transparency and accountability. It is an independent research and testing ground dedicated to ensuring that the AI used by children is safe and developmentally appropriate.

The Project Manager will own the end\-to\-end process by which the Institute's work—risk assessments, standards, briefs, and other outputs—gets published, distributed, and made accessible to the audiences that matter. This is a deeply cross\-functional role that sits at the intersection of content strategy, site operations, and internal coordination, working across the Institute team and with Common Sense Media's Communications, Marketing, Product, and Editorial teams to ensure that what the Institute produces reaches the right people in the right form.

This is a role with meaningful room to grow as the Institute's publishing volume and infrastructure scales. The ideal candidate is organized, detail\-oriented, and comfortable operating across both the operational and strategic dimensions of content publishing, from managing image specs and CMS workflows to thinking about how different audiences engage with Institute content.

Location: San Francisco, California

Reports To: Head of AI \& Digital Assessments

Salary: $66,000–$82,000

Type: Full\-time, exempt

What You'll Do

Publishing Operations \& Site Management

  • Own the backend publishing workflow for all Institute output, including risk assessments, standards documentation, research briefs, and related materials.
  • Manage CMS operations for Institute content: uploading, formatting, QAing, and maintaining published pages to ensure accuracy, consistency, and accessibility.
  • In collaboration with Common Sense Media's Brand and Marketing teams, develop and maintain publishing standards and process documentation, including image specs, formatting guidelines, versioning protocols, and QA checklists, so that publishing is consistent and reproducible across all output types.
  • Coordinate with Common Sense Media's Product team to identify, specify, and implement site features needed to support Institute publishing requirements (e.g., standards display formats, risk assessment archives, versioning infrastructure).
  • Manage the Institute's content archive, including version control for standards and assessments, so that published materials are traceable and up to date.

Cross\-Functional Coordination

  • Serve as the Institute's primary operational coordinator for publishing\-related workflows, working across internal teams including Communications, Marketing, Product, and the Families and Education editorial teams.
  • Coordinate the write\-up and publication process across Institute staff, ensuring that drafts move through review, editing, and approval stages on schedule.
  • Liaise with Common Sense Media's Families and Education teams to facilitate translation of Institute outputs for family\- and educator\-facing audiences, ensuring the handoff is smooth, well documented, and timely.
  • Coordinate with the Communications and Marketing teams to prep Institute content for distribution across channels, including newsletters, social media, and partner share\-outs.

Content Strategy \& Audience Distribution

  • Think strategically about how Institute outputs are presented and accessed across different audience segments (including researchers, policymakers, industry, and institutional stakeholders) and surface recommendations for how content structure, format, and distribution can better serve those audiences.
  • Support the development and maintenance of standards content on the Institute's website, including thinking through how standards are formatted, navigated, and updated for public audiences.
  • Prepare and package Institute content for share\-out, including drafting materials for institutional audiences (newsletters, briefing summaries, release communications) in coordination with the Head of AI \& Digital Assessments.
  • Track how audiences engage with published Institute content and bring those insights back to inform future publishing and distribution decisions.

Process Documentation \& Standardization

  • Document and maintain clear process guides for all publishing and distribution workflows so that operations are consistent, transferable, and scalable.
  • Identify inefficiencies or gaps in existing workflows and propose improvements in coordination with internal stakeholders.
  • Maintain organized records of all published outputs, versions, and distribution activity.

What We're Looking For

Required Qualifications

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  • Education: Bachelor's degree in a relevant field (communications, journalism, public policy, digital media, or related).
  • Experience: 2–3 years of experience in content operations, digital publishing, communications coordination, or a related role.
  • CMS proficiency: Hands\-on experience working in a content management system, with comfort managing formatting, publishing workflows, and page QA.
  • Cross\-functional coordination: Demonstrated ability to coordinate across multiple internal teams and stakeholders to move projects forward on deadline.
  • Organizational excellence: Strong attention to detail and process orientation, with a track record of building and maintaining systems that keep complex workflows running smoothly.
  • Communication: Clear written communication skills, with the ability to draft institutional audience\-facing content and document processes precisely.

Preferred Qualifications

  • Experience working with product or engineering teams to specify and implement content or site features.
  • Familiarity with content strategy, audience segmentation, or digital distribution in a research, policy, or nonprofit context.
  • Experience managing content archives, version control, or publishing standards documentation.
  • Comfort working across communications, marketing, and editorial functions in a matrixed organization.
  • Interest in AI safety, technology policy, or child and youth safety.

Core Competencies

  • Operational excellence: Builds systems, follows process, and keeps complex publishing workflows running reliably across a high volume of outputs.
  • Cross\-functional fluency: Works comfortably across teams with different priorities and vocabularies—Product, Communications, Marketing, Editorial—without losing track of Institute needs.
  • Strategic orientation: Understands the purpose behind the operations; thinks about how content reaches audiences, not just whether it gets published.
  • Detail orientation: Catches errors, maintains consistency, and upholds publishing standards across all Institute outputs.
  • Proactive communication: Keeps stakeholders informed, flags blockers early, and follows through without being asked.
  • Growth mindset: Eager to take on increasing responsibility as the Institute's publishing infrastructure and output volume grows.

What We Offer

  • The chance to work with talented, passionate professionals.
  • A great health and welfare benefits package, including medical, dental, vision, a matching 401(k), and other key benefits.
  • An organization that offers work/life balance.
  • The opportunity to really make a difference in the lives of kids and families!

*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 $66K-$82K range is in the lower quartile for AI Safety roles in our dataset (median: $209K across 13 roles with salary data).

Role Details

Title Project Manager (Youth AI Safety Institute)
Location San Francisco, CA, US
Category AI Safety
Experience Mid Level
Salary $66K - $82K
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 3,823 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 (52% of roles) Aws (31% of roles) Azure (24% of roles) Rag (22% of roles) Gcp (19% of roles) Pytorch (16% of roles) Prompt Engineering (16% of roles) Claude (14% 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 $274,200 based on 55 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,000. This role's midpoint ($74K) sits 73% below the category median. Disclosed range: $66K to $82K.

Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and Research Engineer ($260,000). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.

Common Sense Media AI Hiring

Common Sense Media has 4 open AI roles right now. They're hiring across AI Safety. Based in San Francisco, CA, US. Compensation range: $82K - $110K.

Location Context

AI roles in San Francisco pay a median of $253,000 across 2,168 tracked positions. That's 26% 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 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.

The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 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 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). 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 (112) are outnumbered by mid-level (1,798) and senior (1,516) 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 397 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 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 $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. 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 Engineering Manager roles lead at $275,000 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 (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 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 55 roles with disclosed compensation, the median salary for AI Safety positions is $274,200. 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 15% of the 3,823 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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