Senior Technical Product Manager — AI & Child Safety

The National Center on Sexual Exploitation (NCOSE) is a national nonprofit organization working to prevent sexual abuse and exploitation mass scale by eliminating institutional behaviors & cultural norms that enable it. Through advocacy, education, research, communications, and strategic partnerships, NCOSE works to advance policies, practices, and cultural change that protect human dignity and promote healthier communities.

The NCOSE Parent Center is a key part of this work, equipping parents and caregivers with practical resources, education, and support to help children navigate an increasingly sexualized and digital world. The Parent Center helps families understand emerging risks, have meaningful conversations with children, and take informed action to create safer environments for young people.

Position Overview

The National Center on Sexual Exploitation (NCOSE) is seeking a Senior Technical Product Manager to lead the development, beta testing, launch, and continued evolution of an innovative AI-powered Parent Center focused on helping parents, caregivers, and communities protect children in an increasingly complex digital environment.

This is not a traditional project management position.

We are looking for a hands-on product leader who understands how modern software is built, has successfully helped bring technology products to market, and can operate effectively between organizational leadership, users, subject-matter experts, and an external software development team.

Experience launching AI or LLM-powered products is strongly preferred.

The successful candidate will become NCOSE's day-to-day product owner for the Parent Center and will initially lead an important beta deployment involving schools and real-world users.

This person must be technically fluent enough to challenge developers, evaluate technical recommendations, understand AI system limitations, identify product risks, and hold an external development firm accountable for quality, schedule, and results.

Key Responsibilities

Product Leadership

Own the Parent Center product from beta through broader deployment.

Translate NCOSE's vision, child-safety expertise, stakeholder requirements, and user feedback into actionable product requirements.

Develop and maintain the product roadmap, backlog, user stories, priorities, acceptance criteria, and release schedule.

Serve as the primary day-to-day product contact between NCOSE leadership and the external development team.

Ensure that technology decisions remain aligned with the mission and intended purpose of the Parent Center.

Beta Program

Design and manage the Parent Center's initial school beta program.

Develop structured beta-testing protocols, success metrics, feedback mechanisms, and launch criteria.

Coordinate onboarding and communication with participating schools and users.

Analyze qualitative and quantitative feedback and translate findings into product improvements.

Maintain clear reporting on beta performance, adoption, user experience, defects, risks, and development progress.

AI Quality & Evaluation

Develop a repeatable evaluation framework for the Parent Center's AI system.

Create and maintain test suites covering normal user interactions as well as difficult, ambiguous, adversarial, and high-risk situations.

Evaluate areas including:

Response accuracy and usefulness

Hallucinations and unsupported claims

Source quality

Consistency

Appropriate escalation

Child-safety scenarios

Crisis and emergency situations

Sextortion

Grooming

Pornography exposure

Sexting and explicit-image situations

Social media and gaming platforms

School-device concerns

Prompt injection and adversarial behavior

AI-generated sexual exploitation concerns

Privacy and data handling

Guardrails and system boundaries

Partner with NCOSE subject-matter experts to ensure the system accurately reflects organizational guidance and child-safety best practices.

Establish measurable release thresholds rather than relying solely on subjective assessments that the AI "looks good."

Development & Vendor Management

Manage NCOSE's relationship with the external development firm at the product level.

Hold the development team accountable for:

Deliverables

Engineering estimates

Timelines

Product quality

Defect resolution

Documentation

Release readiness

Review proposed technical solutions and ask informed technical questions.

Identify unclear estimates, unnecessary complexity, product risks, technical debt, and potential gaps between requirements and delivered functionality.

Ensure fixes are validated through regression testing before release.

Launch & Product Operations

Develop formal criteria for moving from:

Internal Testing → School Beta → Expanded Pilot → Production Launch

Establish dashboards and reporting covering product health, AI quality, user feedback, open defects, critical issues, development velocity, and launch readiness.

Lead post-launch product monitoring and continuous improvement.

Help NCOSE develop a long-term strategy for additional AI and digital products.

Technical Fluency

You do not need to be a software engineer.

However, you must be technically fluent enough to communicate effectively with engineers and evaluate technical decisions involving areas such as:

Modern web applications

APIs and integrations

Cloud infrastructure

Databases

Authentication and authorization

Analytics and telemetry

Software development lifecycle

QA and automated testing

AI/LLM systems

Prompt engineering

Retrieval-Augmented Generation (RAG)

Model evaluation

AI guardrails

Hallucination mitigation

Observability

Security and privacy

You should be comfortable asking a development team to explain an architecture or estimate and capable of recognizing when the explanation is inadequate.

Qualifications

Required

6+ years of product management, technical product management, software product leadership, or closely related experience

Demonstrated experience taking a meaningful technology product through development, beta/pilot, and launch

Strong technical fluency and experience working directly with software engineering teams

Experience managing external technology vendors and/or distributed engineering teams

Experience developing product requirements, user stories, acceptance criteria, roadmaps, and release plans

Strong QA and analytical mindset

Ability to communicate technical issues clearly to nontechnical executives and stakeholders

Strong organizational skills and personal accountability

Ability to operate effectively in a mission-driven organization where the consequences of poor product decisions can be significant

Strongly Preferred

Direct product experience with generative AI or LLM-powered applications

Conversational AI or chatbot experience

Experience with RAG, AI evaluation frameworks, model testing, guardrails, or AI observability

Experience conducting AI red-team or adversarial testing

EdTech or K-12 technology experience

Trust & Safety experience

Child-safety technology experience

Digital health or other high-stakes technology experience

Experience with privacy-sensitive or regulated products

Who Will Succeed Here

We're interested in people who ask difficult questions.

If a developer says something will take six weeks, you want to understand why.

If an AI system produces the correct answer 19 times and a dangerous answer the twentieth time, you don't consider the problem solved.

If a product works perfectly during a demonstration but fails under unusual real-world conditions, you want to know about those conditions before our users discover them.

You should be comfortable telling organizational leadership when a product isn't ready to launch—and equally comfortable telling a development team when their work doesn't meet agreed-upon requirements.

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