Join Airbnb as a Senior Manager in Quality, Specialty, leading quality programs in high-stakes support environments. Drive strategic initiatives, oversee QA processes, and foster a culture of excellence within a globally distributed team.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
Strategic Leadership & Program Ownership
- Own and execute the Specialty quality strategy aligned to several critical priorities: breaking silos, aligning with stakeholders, defining a clear operating model, and driving measurable impact.
- Establish quality operating models with shared governance, consistent calibration standards, and clear accountability frameworks, while preserving the differentiation that each function requires.
- Represent Specialty quality in WBRs, MBRs, QBRs, and executive reviews; deliver a proactive narrative that surfaces emerging risks.
Measurement & Quality Execution
- Oversee QA evaluation execution across all Specialty functions and partner sites globally, ensuring consistent application of QA processes and frameworks.
- Lead root cause analysis on systemic failures, translating QA findings into product, process, and policy recommendations that go beyond agent-level coaching.
- Formalize Audit the Auditor as an ongoing control: define sample selection, alignment thresholds, root cause review, and evaluator-level remediation processes.
- Ensure every evaluation closes with a documented coaching action; build the tracking mechanisms to measure whether coaching is translating into performance improvement over time.
Insights, Reporting & Stakeholder Partnership
- Establish automated KPI reporting across all Specialty functions, eliminating manual processes.
- Implement an NPS/predictive NPS detractor analysis framework, ensuring global patterns surface in real time.
- Build a Partner QA Performance Scorecard, establishing clear accountability for Calibration Accuracy, Evaluation Completeness, Critical Error Detection, Coaching Effectiveness.
AI, AutoQA & Technology Enablement
- Drive AutoQA adoption across Specialty tiers, with particular focus on the attributes unique to Safety.
- Govern the Responsible AI quality framework within Specialty: establish how Quality identifies, classifies, and escalates AI-model errors via CS Labs, and ensure this process is consistently applied and regularly reviewed as AI capabilities evolve.
- Champion AI and analytics tools for Specialty insight generation and reporting.
People & Culture Leadership
- Lead a globally distributed team of Partner Quality Leads and Quality Insights Analysts.
- Foster a One-Quality-Team culture that eliminates the cross-team divides: shared best practices, cross-regional learning, and proactive knowledge sharing.
- Set high expectations and hold the team accountable for output quality, insight delivery, and stakeholder engagement.
- Partner closely with peers to ensure one consistent quality voice across the portfolio.
Your Expertise:
- 12+ years in Customer/Community Support, Quality, Operations, or Trust & Safety, with direct experience leading quality programs in sensitive, high-stakes, or regulated support environments.
- Bachelor's Degree, preferably in related field required; MBA or Masters preferred.
- Demonstrated experience building or transforming quality programs for complex, non-routine support functions.
- Deep expertise in quality methodologies (COPC, AQS, Six Sigma, Lean), with a proven ability to apply them to high-volume, complex support environments.
- Experience with QA tooling platforms, including hands-on ownership of form design, calibration management, and AutoQA deployment.
- Experience managing globally distributed quality teams across multiple functions, languages, and partner organizations in a 24/7 environment.
- Experience deploying or scaling AI/ML assisted QA tools (AutoQA, predictive NPS/CSAT).
- Strong executive presence: able to influence senior stakeholders, present a unified quality narrative in leadership forums, and drive alignment across stakeholders.
- Experience managing vendor partner governance: calibration oversight, performance improvement plans, and escalation frameworks.
- Preferred COPC certification; Six Sigma Green or Black Belt.
- Experience with Observe.AI.
- Background in program management, change management, or organizational design within a high-growth tech environment.
- Experience working in or closely with BPO/vendor governance models at scale (1,000+ partner FTEs across multiple sites and geographies).
How We'll Take Care of You:
- Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands.
- The base pay range is subject to change and may be modified in the future.
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
- Pay Range $192,000 — $235,000 USD.