O

OpenAI

Builds AI models and the ChatGPT assistant

Device Safety & Risk Operations Specialist - User Safety & Risk Operations

Risk & ComplianceConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$252k - $280k /yr

About the Job

Requirements

  • Have 8 or more years of relevant experience in device safety, product safety, consumer hardware operations, technical program management, or a related field.
  • Have built a complex safety or risk program from an ambiguous starting point through launch and scaled operation.
  • Understand the handling of high-severity incidents, regulated workflows, sensitive customer information, and time-critical escalations.
  • Translate product, engineering, legal, privacy, and policy constraints into workflows that operational teams can execute.
  • Be technically fluent and able to reason through data flows, telemetry, access controls, audit logs, case systems, automation, and failure modes.
  • Use data to assess workflow health, identify emerging patterns, evaluate quality, and make risk-based decisions.
  • Establish clear accountability across teams with overlapping responsibilities and different risk tolerances.
  • Balance launch speed with safety controls, monitoring, rollback criteria, and longer-term system development.
  • Communicate clearly with operational, technical, legal, and executive audiences when evidence is incomplete or tradeoffs are difficult.
  • Be willing to build workflows, not only define strategy.

Responsibilities

  • Build the end-to-end safety and risk operating model for new consumer hardware, from early requirements through launch and early-life operations.
  • Define incident taxonomies, severity levels, decision rights, escalation criteria, response pathways, and closure standards.
  • Develop operational playbooks for product-safety incidents, critical escalations, safety advisories, corrective actions, and other high-risk events.
  • Design workflows for regulated and privacy-sensitive cases, including restricted handling, evidence requirements, auditability, and partner escalation.
  • Translate safety and operational needs into requirements for tooling, case management, data access, monitoring, logging, and automation.
  • Establish clear ownership boundaries across Product, Engineering, Legal, Privacy, Product Policy, Support, Product Quality, and other operational partners.
  • Build launch-readiness plans, tabletop exercises, training, quality controls, reporting, and post-launch monitoring.
  • Use operational data, customer signals, product telemetry, and case outcomes to identify patterns and improve upstream products and systems.
  • Determine where AI and automation can improve triage, evidence assembly, consistency, and response while preserving appropriate human judgment.
  • Stand up priority workflows, operate them through launch and early-life stabilization, and transition them into durable homes across USRO and partner teams.

Desired Qualifications

  • Experience supporting consumer hardware, connected devices, or other products used in shared environments.
  • Experience with product-safety investigations, recalls, field failures, safety advisories, or hazardous-product handling.
  • Experience designing workflows involving privacy-sensitive sensor, diagnostic, media, or household data.
  • Familiarity with warranty, repair, reverse logistics, identity recovery, fraud, or ownership disputes.
  • Experience building vendor training, quality-assurance, incident-response, or specialist-review programs.

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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