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About the Role

The Youth AI Safety Institute is Common Sense Media's newest programmatic pillar, focused on establishing safety standards, building open-source evaluations, independently testing AI products, and publishing results for transparency and accountability. The Evaluations Partner Manager will organize the operational execution of the Institute's evaluation work, managing the workflow between the Institute and its external evaluator partners to ensure standards are met, evaluations are run, and results are delivered. This role is central to the Institute's operations, providing a critical feedback loop and interfacing with internal product and data teams to keep the evaluation pipeline running smoothly.

Responsibilities

Serve as the primary staff-to-staff operational contact for external evaluator partners, managing the flow of work across 3-4 concurrent evaluation partnerships.
Track the status of each evaluation track from standards handoff through rubric development, evaluation execution, and results delivery.
Ensure evaluator partners have necessary resources from the Institute and that deliverables are received on time and in expected formats.
Develop and maintain systems for tracking evaluation timelines, deliverables, and open items across all active partnerships.
Coordinate the handoff of Institute standards to evaluator partners, ensuring materials are complete, clearly documented, and appropriately contextualized.
Surface and triage feedback from evaluators regarding standards, routing issues to the Standards Analyst with sufficient context.
Track open feedback items, document resolutions, and ensure revised standards or clarifications are communicated to evaluators.
Maintain a clear record of the standards-to-rubric translation process, including issues raised and their resolutions.
Coordinate the receipt of evaluation results and data from external partners in usable formats for the Institute and internal teams.
Serve as the operational liaison between external evaluators and Common Sense Media's internal product and data teams.
Track and organize evaluation outputs to support the Institute's reporting, publication, and standards-refinement work.
Maintain real-time visibility into the status of all active evaluation projects, documenting milestones, blockers, and deadlines.
Produce regular status updates for the Head of AI & Digital Assessments, flagging issues for escalation or decision.
Proactively identify and surface operational bottlenecks before they delay evaluation timelines.

Requirements

Bachelor's degree in a relevant field (project management, public policy, computer science, research methods, or related).
3-5 years of experience in program coordination, research operations, or project management, preferably in a technical, research, or policy context.
Demonstrated ability to manage multiple concurrent project tracks with external partners, keeping complex workflows on schedule and well-documented.
Comfortable working with data systems and technical workflows, understanding data movement between systems, following technical documentation, and communicating clearly with technical teams.
Strong written and verbal communication skills, with the ability to translate clearly and efficiently between technical and non-technical stakeholders.
Exceptional attention to detail and follow-through, with a track record of keeping complex, multi-party projects running smoothly.
Experience coordinating research or evaluation workflows in an academic, policy, or technology context.
Familiarity with AI evaluation, platform safety research, or technology risk assessment.
Experience working with external research or technical partners in a coordination or liaison capacity.
Ability to work directly with data formats, API documentation, and evaluation pipelines; capable of identifying integration issues and communicating precisely with engineering or data teams.
Background in child safety, educational technology, or youth-focused research.
Experience working in mission-driven or nonprofit organizations.
Comfortable operating in a fast-moving environment where evaluation methods, partners, and priorities continue to evolve.

Skills

Project management
Program coordination
Research operations
Workflow management
Technical comprehension
Data systems
Technical workflows
Written communication
Verbal communication
Attention to detail
Follow-through
AI evaluation
Platform safety research
Technology risk assessment
API documentation
Evaluation pipelines
Systems thinking

Location

San Francisco, California

Work Type

Full Time
Exempt

Experience Level

3-5 years

Education Level

Bachelor's degree

Salary/Compensations

$90,000.00 - $110,000.00

Benefits

Medical
Dental
Vision
Matching 401(k)

About the Company

Common Sense Media is the leading nonprofit organization dedicated to improving the lives of kids and families by providing research-backed information, education, and independent voice 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.

Equal Opportunity

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.
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, an individualized assessment will be conducted 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.