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Remote Rmf Jobs in San Francisco, CA (NOW HIRING)

Remote Rmf information

See San Francisco, CA salary details

$34.8K

$111.8K

$200.9K

How much do remote rmf jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote rmf in San Francisco, CA is $111,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a remote RMF?

A Remote RMF (Risk Management Framework) job involves managing cybersecurity risk and compliance for an organization while working remotely. Professionals in this role ensure that IT systems align with federal security standards, such as those outlined by NIST. Responsibilities may include conducting risk assessments, implementing security controls, and maintaining compliance documentation. Remote RMF specialists often work with government agencies, contractors, or private companies handling sensitive data. This position requires expertise in cybersecurity policies, risk management, and regulatory compliance.

What are the typical daily responsibilities of a remote RMF?

As a Remote RMF Specialist, your daily responsibilities often include conducting security assessments, preparing and reviewing authorization packages, and ensuring ongoing compliance with federal information security standards. You'll collaborate with cross-functional teams to identify risks, develop mitigation strategies, and document security control implementations. Regular communication with stakeholders, participation in virtual meetings, and continual monitoring of systems and processes to ensure compliance are also core aspects of the job. This role leverages remote work tools to collaborate effectively with cybersecurity, IT, and compliance professionals across multiple locations.

What are the key skills and qualifications needed to thrive in the remote RMF position, and why are they important?

To thrive as a Remote RMF (Risk Management Framework) Specialist, you need a strong understanding of information security principles, federal risk management frameworks (such as NIST SP 800-37), and relevant cybersecurity policies, typically backed by a degree in information security or related field. Familiarity with security assessment tools, governance, risk, and compliance (GRC) software, as well as certifications like CISSP, CAP, or CISM, is highly valued. Excellent organizational skills, attention to detail, and the ability to communicate complex security concepts clearly are important soft skills. These capabilities are critical to ensure regulatory compliance and robust information system security in a remote work context.

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Infographic showing various Remote Rmf job openings in San Francisco, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $111,839 per year, or $53.8 per hour.

Staff Product Manager, AI Safety

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Re-posted 4 days ago


Job description

As a Staff Product Manager for the GenAI Safety team within Trust & Safety, you'll define and drive the product strategy for ensuring Pinterest's GenAI-powered systems are safe, fair, and trustworthy. You'll be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly.

This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You'll work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements.

What you'll do:

  • GenAI Safety Strategy: Own and drive the product roadmap for GenAI safety across Pinterest's AI-powered surfaces, including assisted search, content recommendations, automated moderation, and generative content creation tools
  • Threat Modeling & Red-Teaming: Lead proactive identification of risks, failure modes, and adversarial attack vectors across AI systems - designing structured red-teaming exercises and evaluation frameworks before and after product launches
  • Policy-to-Product Translation: Partner closely with Trust & Safety policy, legal, and ethics teams to translate nuanced content guidelines (e.g., self-harm, misinformation, body image) into precise, buildable product requirements and model guardrails
  • Cross-Functional Collaboration: Work with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations
  • Evaluation & Measurement: Define and track quantitative safety metrics - including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction - to ensure AI systems meet safety standards at scale
  • Incident Response: Develop and maintain AI safety incident runbooks and escalation frameworks, and lead rapid triage and remediation when AI systems produce harmful or unexpected outputs
  • Emerging Risk Anticipation: Stay ahead of the rapidly evolving AI landscape to identify safety implications of new capabilities (e.g., multi-modal generation, synthetic media, agentic AI) and proactively build extensible safety infrastructure to address unknown future applications
  • Global & Cultural Sensitivity: Ensure AI safety approaches account for the needs, norms, and contexts of Pinterest's diverse global user base - avoiding one-size-fits-all solutions and centering equity in safety design
  • User & Employee Wellbeing: Champion the safety and psychological wellbeing of both users who encounter harmful content and internal teams (content reviewers, T&S specialists) who work on the front lines of content safety

What we're looking for:

  • 7+ years of product management experience, with meaningful depth in GenAI/ML, trust & safety, content moderation, or responsible AI
  • Strong fluency in AI/ML concepts - including generative models, recommendation systems, multi-modal AI, and reinforcement learning from human feedback (RLHF)
  • Experience with AI ethics frameworks, responsible AI principles, or relevant regulatory landscapes (e.g., NIST AI RMF, EU AI Act)
  • Demonstrated ability to lead cross-functional teams through ambiguous, high-stakes problem spaces with a bias for action
  • Proficiency in engaging with research, mapping threat models, validating risks, and translating insights into clear product strategies and roadmaps
  • Excellent communication skills - the ability to articulate complex technical and ethical trade-offs to non-technical audiences and senior leadership, facilitating clear decision-making
  • Deep empathy for users and a genuine commitment to making the internet safer
  • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

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