# Technical Program Manager, AI Safety & Safeguards

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA, Mountain View, CA
**Role:** Technical Program Management
**Salary:** $257k – $445k/yr
**Skills:** Distributed Systems, cloud deployments, APIs, Machine Learning, System Architecture, platform integrations, model evaluations, guardrails, classifiers, abuse detection, Monitoring, enforcement workflows, Incident Response, technical roadmaps, Program Management
**Posted:** 2026-08-11

> Leads high-stakes technical programs that translate AI safety and product priorities into deployed safeguards across ChatGPT, API, enterprise, and cloud environments. The role requires strong technical judgment, cross-functional execution, program management discipline, and experience with safety, platform, infrastructure, or machine learning initiatives.

## Job Description

## Responsibilities
- Partner with product, engineering, research, and design to shape technical roadmaps, platform direction, and safeguards priorities across ChatGPT, API, enterprise, and cloud environments.
- Translate product and safety objectives into execution plans balancing delivery, platform evolution, customer needs, and responsible deployment.
- Lead cross-functional programs from problem definition and technical design through implementation, launch, iteration, and operational follow-through.
- Own milestones, dependencies, risk mitigation, decisions, and accountability across engineering, infrastructure, integrity, trust and safety, legal, policy, operations, and go-to-market teams.
- Partner with engineers on system architecture, APIs, cloud deployment patterns, platform integrations, operational failure modes, and technical tradeoffs.
- Drive safeguards including model evaluations, post-training mitigations, classifiers, abuse detection, monitoring, enforcement workflows, human review, and agent-assisted review.
- Coordinate readiness for sensitive or high-impact deployments, including safety coverage, escalation paths, operational controls, and partner alignment.
- Identify emerging misuse and severe-harm risks and define prevention, detection, investigation, enforcement, and improvement mechanisms.
- Establish metrics for program delivery, deployment readiness, safety effectiveness, operational quality, and user or developer experience.
- Communicate program health, risks, recommendations, and tradeoffs to engineering teams, cross-functional partners, and executives.
- Improve delivery and safety outcomes through operating mechanisms, scalable tooling, and data- or AI-assisted workflows.

## Requirements
- Strong track record delivering high-impact technical programs across product, platform, API, infrastructure, machine learning, or safety domains.
- Strong technical judgment across distributed systems, cloud deployments, public or internal APIs, developer platforms, production machine learning, or scalable product architecture.
- Ability to engage credibly with engineers on system design, implementation tradeoffs, reliability, deployment constraints, and operational risks.
- Experience delivering platforms or developer-facing capabilities and understanding how technical decisions affect customer and developer experience.
- Understanding of safety, integrity, or abuse-prevention systems, including evaluations, guardrails, classifiers, monitoring, enforcement, investigations, and incident response.
- Strong program management discipline, including coordinating workstreams, resolving dependencies, and turning ambiguity into accountable execution.
- Product judgment balancing user and customer needs, model usefulness, safety risk, technical complexity, and business priorities.
- Clear and empathetic communication with engineering teams, executives, policy and legal partners, and external stakeholders.
- Comfort owning high-stakes programs requiring executive presence, cross-organizational influence, and decisions under uncertainty.
- Relevant experience with sensitive deployments, major cloud providers, or serious-harm domains such as violent misuse, child safety, or cybersecurity.
- Hands-on, curious approach to responsible deployment of increasingly capable AI systems.

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