United States•Posted: Jun 16•Deadline: Aug 17
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.
The Community You Will Join:
* The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging,
chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues,
Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is
globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive
partner network serving all regions.
The Difference You Will Make:
* In this role you will own the strategic design and continuous evolution of risk frameworks, the risk registry, and executive
risk narratives for Community Support — translating investigative findings, AI/ML model outputs, operational signals, and
emerging threats into decisions and actions that protect Airbnb.
* A defining element of this role is your close partnership with the Insider Threat program. Together, you will form a
complementary unit: you will ensure that investigative outcomes are contextualized within the broader risk ecosystem —
informing risk appetite decisions, shaping detection strategy, and driving remediation accountability. You will co-own
escalation frameworks, jointly challenge detection model effectiveness, and ensure that the feedback loop between
investigations, risk governance, and AI-driven detection is robust and continuously improving.
* Beyond analysis and governance design, you will 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. This requires the
discipline of program management combined with the authority and influence to hold cross-functional teams accountable for
closing gaps.
* Critically, as Airbnb accelerates its use of AI and automation across operations, you will 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. This is not a technical role; it is a role that requires you to ask the right questions of
technical teams, interpret outputs with skepticism, and ensure that AI-driven processes are governed with the same rigor as
human-driven ones.
* You will be joining a new team and have the opportunity to shape its development, taking on a growing leadership role over
time. We are looking for someone with the drive to build something from nothing and push for growing excellence.
A Typical Day:
RISK STRATEGY, FRAMEWORKS AND AI RISK GOVERNANCE
* Design and own the CS Risk Appetite Framework — define guardrails, escalation triggers, and pre-approved response actions. This
is not a documentation exercise; it requires continuous negotiation with senior leaders and cross-functional partners to
calibrate organizational tolerance in a rapidly changing threat environment.
* 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 (e.g., emergent social engineering
tactics, regulatory shifts, insider collusion patterns), and ensure accountability for remediation.
* Develop and stress-test risk assessment standards — including key risk indicators (KRIs), risk typologies, and emerging threat
hypotheses. Critically evaluate whether existing KRIs remain meaningful or whether they have become stale proxies that create
false confidence.
* Support the evolution of models and processes used in detection triage and investigation — not by building models, but by
interrogating model assumptions and sources of risk.
* 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.
INVESTIGATIONS PARTNERSHIP AND STRATEGIC OVERSIGHT
* Collaborate closely with the Insider Threat Investigations to ensure investigative outcomes are systematically captured,
contextualized, and integrated into risk governance. Your role is to provide the strategic risk lens — asking: What does this
pattern of findings tell us about our risk posture? Where are our blind spots? What should we investigate that we are not?
* Co-design escalation and review protocols for high-severity investigation findings and risk non-compliant transactions. Ensure
that escalation criteria evolve as threat actors adapt, and that protocols account for edge cases that automated triage systems
cannot handle.
* Participate in joint case reviews, postmortems, and incident debriefs to extract systemic insights: Is this a one-off or a
pattern? Does this reveal a control gap? Does this change our risk appetite?
* Provide strategic risk context to the Investigations team — help prioritize investigative focus areas based on risk registry
intelligence, KRI trends, and organizational risk appetite rather than solely on case volume or severity scores.
* Coordinate the feedback loop between investigations and AI-driven detection systems — ensuring that investigative findings
inform detection improvements, and that detection model performance is tracked, challenged, and reported as part of the broader
risk posture.
ROOT CAUSE RESOLUTION PROGRAM MANAGEMENT
* Own the end-to-end lifecycle of root cause resolution — from the moment a systemic root cause is identified (through
investigations, incidents, postmortems, risk assessments, or AI model failures) through to verified remediation and closure.
This is not an analytical exercise alone; it is a program management discipline that requires tracking, accountability, and
sustained cross-functional pressure.
* Maintain and govern a centralized root cause and remediation tracker that captures all identified systemic issues, assigns
clear ownership, defines resolution milestones and deadlines, and provides real-time visibility into remediation progress.
Ensure this tracker is reviewed at regular governance cadences and escalated when timelines slip.
* Distinguish between symptomatic fixes and true root cause resolution. Challenge teams that propose surface-level patches and
advocate for structural solutions — even when they are harder, slower, or require investment from teams outside CS. Escalate to
senior leadership when organizational inertia prevents meaningful remediation.
* Drive cross-functional remediation workstreams — coordinate across relevant partner teams to ensure that root cause resolution
plans are resourced, sequenced, and executed. Hold workstream owners accountable through regular status reviews, blockers
identification, and executive escalation where necessary.
* Track resolution effectiveness over time — monitor whether implemented fixes actually reduce the recurrence of the underlying
risk. If a root cause was "resolved" but the same pattern reappears, re-open the issue and drive a deeper investigation into
why the fix failed.
* Integrate root cause intelligence into the risk registry and risk appetite framework — ensure that patterns of recurring root
causes inform risk scoring, KRI design, and strategic risk priorities. If the same category of root cause keeps surfacing, that
is a signal that the risk framework itself needs adjustment.
* Report on root cause resolution health to senior leadership — including metrics on open vs. closed root causes, average time to
resolution, aging items, recurrence rates, and cross-functional accountability. Make this a standing component of executive
risk reporting.
EXECUTIVE REPORTING AND RISK COMMUNICATION
* Craft and deliver executive-level risk narratives, provide the interpretive layer that tells leadership what the data means,
what decisions are required, and what trade-offs are at stake. This requires the ability to synthesize ambiguous, incomplete,
and sometimes contradictory signals into a coherent story under time pressure.
* Own the reporting architecture — determine what should be measured, how it should be presented, and to whom. Challenge vanity
metrics and advocate for indicators that reflect actual risk exposure.
* Define and maintain monitoring thresholds and escalation triggers in collaboration with the Investigations Manager — ensuring
these thresholds are calibrated to real-world conditions rather than historical baselines that may no longer apply.
* Translate investigative findings, root cause resolution status, and AI model performance data into actionable risk mitigation
recommendations — bridging the gap between technical teams and executive decision-makers.
CROSS-FUNCTIONAL INFLUENCE AND ORGANIZATIONAL RISK CULTURE
* Drive cross-functional risk alignment — serving as the connective tissue that ensures risk is managed holistically rather than
in silos. This requires relationship-building, political navigation, and the credibility to challenge peers and senior leaders.
* Lead systemic risk reviews — going beyond surface-level incident response to identify structural vulnerabilities, incentive
misalignments, and process design flaws that create risk. Ensure findings from these reviews feed directly into the root cause
resolution program.
* Champion the integration of risk thinking into operational design — ensuring that new processes, tools, and AI deployments are
evaluated through a risk lens before launch, not after failure.
* Serve as a change agent for risk culture — moving the organization from reactive compliance toward proactive risk intelligence.
This means influencing behavior, not just writing policies.
LEADERSHIP, MENTORSHIP AND CAPABILITY BUILDING
* Provide leadership and mentorship to more junior team members — developing their ability to think critically about risk,
challenge data, and communicate effectively with senior stakeholders.
* Design and deliver risk and compliance training that goes beyond checkbox compliance — building genuine risk literacy across CS
teams, including an understanding of AI risks and limitations.
* Foster a culture of constructive challenge — where team members are expected to question assumptions, flag concerns, and
contribute to the continuous evolution of the risk program.
Your Expertise:
* 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.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as
agreed to with your manager. Airbnb,Inc. can employ in states where we have registered entities. Currently, employees can not be
located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and
Rhode Island. This list is continuously evolving and being updated, please check back with us if the state you live in is on the
exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible
to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement,
and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals
are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and
require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.
Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting
process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online
application.
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
$156,000—$193,000 USD
EMEA•Posted: Jun 3•Deadline: Aug 16
At Dexory, we believe that real time data will revolutionise the logistics industry. We are building the ultimate data insights
platform that provides companies with unprecedented, real time access to their operations. Our autonomous data capture technology
and insights generation capabilities help to measure, track and find goods across warehouses in real time, while building the
ultimate digital twin of facilities.
Join us at a very exciting time of growth as we’re significantly ramping up all areas of the business to lead the way in logistics
data globally, backed by some of Europe’s best VCs and driven by passion, curiosity and teamwork.
We have an exciting new opportunity for a Deployment Engineer to join our dedicated international team. As an experienced (UK
based) Deployment Engineer you will play an integral role in delivering our products to clients, collaborating closely with the
commercial and engineering teams to ensure a seamless sales, integration, and deployment process. This position requires a highly
organised and technically proficient individual with strong communication skills and a proactive approach to problem-solving.
The crux of the role will involve travel around Europe to deploy our robots within warehouse sites. It is crucial you are able to
travel for 1-2 weeks at a time.
Please note: When not travelling, you will be expected to be onsite at our Wallingford location
Key Responsibilities
* Comprehensive technical understanding of computer systems, with prior experience in autonomous hardware systems or computer
vision applications preferred.
* Proven hands-on experience with hardware in operational environments, including system assembly, disassembly, and on-site
debugging.
* Serve as the primary customer contact for the deployment and installation of hardware and software platforms.
* Coordinate with customers to plan and schedule installations, incorporating mechanical, electrical, software, and network
components.
* Conduct on-site visits to execute system setup, configuration, calibration, and troubleshooting in accordance with project
specifications.
* Develop, maintain, and update installation, deployment, operational, and troubleshooting documentation for both customers and
internal stakeholders.
* Maintain effective communication with customers to resolve technical issues and ensure successful completion of deployment
activities.
What we need from you
* Strong software debugging and problem-solving skills, with demonstrated ability to address technical challenges effectively on
customer premises.
* Excellent written and verbal communication skills, with the ability to present complex technical information clearly and
professionally to diverse audiences.
* Valid driving license required.
We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet
part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an
energetic company culture.
Benefits
Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:
* Performance: High standards, outstanding results,
* Impact: Big challenges, bigger results
* Commitment: All in, every time
* One team: One mission, shared success
Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting
world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the
future of logistics solutions through our products, our culture and our shared vision.
You will also receive:
* Private healthcare via Bupa with 24/7 medical helpline
* Life insurance
* Income protection
* Pension: 4+% employee with option to opt into salary exchange, 5% employer
* Employee Assistance Programme - mental wellbeing, financial and legal advice/support
* 25 days of holiday per year
* Full meals onsite in Wallingford
* Fun team events on and offsite, snacks of all kinds in the office
AAP/EEO Statement
Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and
harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected
veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of
employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence,
compensation and training
Please note: We are unable to provide sponsorship or relocation support for this role.
