Process Risk and Compliance Operations Manager
Posted 1hrs ago
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Job Description
Process Risk and Compliance Operations Manager at Airbnb, owning risk frameworks and evolving risk strategies. Collaborating with investigations to ensure robust risk governance.
Responsibilities:
- Own the strategic design and continuous evolution of risk frameworks, the risk registry, and executive risk narratives for Community Support.
- Ensure that investigative outcomes are contextualized within the broader risk ecosystem — informing risk appetite decisions, shaping detection strategy, and driving remediation accountability.
- Serve as the program manager for systemic root cause resolution — ensuring that when investigations, incidents, or risk assessments reveal structural vulnerabilities, those root causes do not languish in a findings log but are tracked, assigned, resourced, and driven to completion across the organization.
- Serve as a risk steward for AI systems that touch Community Support — leading governance and discussions of the implications of deploying AI in high-stakes decision-making environments.
- Design and own the CS Risk Appetite Framework — define guardrails, escalation triggers, and pre-approved response actions.
- Own and evolve the CS Risk Registry as a living strategic instrument. Your job is to challenge what gets prioritized, determine whether risk scores reflect reality, identify risks that automated systems miss entirely, and ensure accountability for remediation.
- Develop and stress-test risk assessment standards — including key risk indicators (KRIs), risk typologies, and emerging threat hypotheses.
- Support the evolution of models and processes used in detection triage and investigation.
- Establish ongoing governance cadences — risk review boards, quarterly risk assessments, and challenge sessions where risk assumptions are pressure-tested by diverse stakeholders, not simply ratified.
- Collaborate closely with the Insider Threat Investigations to ensure investigative outcomes are systematically captured, contextualized, and integrated into risk governance.
Requirements:
- Bachelor's degree in Business, Risk Management, Finance, Operations, or related field (advanced degree preferred), or equivalent practical experience.
- 10+ years of experience in risk management, compliance, governance, or operational risk — with a demonstrated track record of building and evolving risk frameworks, registries, and reporting programs (not just maintaining them).
- Proven program management capability — specifically the ability to drive complex, cross-functional remediation and root cause resolution efforts from identification through verified closure.
- Experience collaborating with or providing strategic oversight to investigations teams — with a strong understanding of how investigative findings translate into enterprise risk intelligence and governance action.
- Demonstrated ability to evaluate and govern AI/ML systems from a risk perspective — you do not need to build models, but you must be able to critically assess model assumptions, failure modes, bias risks, and governance requirements. Experience challenging technical teams on AI outputs and driving human-in-the-loop governance is essential.
- Proven ability to synthesize ambiguous, complex, and sometimes conflicting information into clear risk narratives and strategic recommendations for executive audiences. If your strength is compiling data rather than interpreting it, this is not the right role.
- Strong organizational influence and stakeholder management skills — with a track record of driving cross-functional alignment, navigating ambiguity, and influencing senior leaders without direct authority.
- Critical thinking and intellectual curiosity — a default posture of healthy skepticism toward automated outputs, historical baselines, and consensus assumptions.
- Ability to adapt and innovate, challenge the status quo, and identify new solutions while effectively balancing risk, speed, and cost.
- Experience with AI risk management frameworks (e.g., NIST AI RMF, ISO 42001, EU AI Act compliance frameworks) or direct involvement in governing AI systems in operational environments.
- Experience developing fraud, safety, or insider threat risk frameworks, strategies, and operational models.
- Experience with contact center operations in process design and optimization, customer support strategies, and/or quality assurance.
- Familiarity with GRC platforms, risk management tools, case management systems, or investigation ticketing platforms.
Benefits:
- bonuses
- equity
- benefits
- Employee Travel Credits
















